Welcome to “Practice with Eskwelabs!” By the end of this blog post, you’ll have completed a data project of your own! But don’t worry, you won’t be going through it alone. Every “Practice with Eskwelabs” blog post features a friendly data scientist BFF who will give you a step by step tutorial and introduction to the concepts being used.

Practice with Basty

Hi, everyone! My name is Basty, and I’m a data scientist and educator from Metro Manila. If there’s something I value so much, that is education. Education has allowed me to not only dive into the amazing world of code and data, but also to encourage and inspire others to do the same. Read more about me here.

In my past articles, I’ve been focusing on different machine learning algorithms; however, it is now high time to mix it up a bit by introducing data scraping!

There’s the saying that data is the new oil. We live in a pool of data, and just imagine if we can swim in that pool and understand all the hidden patterns to come up with valuable insights! Every second that passes by, there is a brand new set of information being generated out there, and imagine if we can extract and leverage that data.

Let’s not delay it any further, and let’s actually start learning about the what, why, and how of data scraping!

Data Scraping

What is it?

First of all, what is data scraping or web scraping? You’ve probably heard of this term, or even at least just the word “scraping” before from other sources, and you’ve probably been wondering if this is even part of your responsibility as a data scientist.

Data scraping is a tool or process for extracting publicly available unstructured data from the web and turning it into machine-readable, structured data for analysis. In other words, data scraping is the task of gathering data from a website and using it for any data science task.

  • Unstructured data - Datasets that don’t have any predetermined data model. In simple terms, these are datasets that are not in a structured manner.

We’ll be going through an example of this later on in our tutorial, but to give you an idea, these are commonly HTML files.

  • Structured data - Contrary to unstructured data, structured data has a structured format. It’s data that is organized, processed, and categorized.
  • The most common example for this type of data is spreadsheets.

  • Semi-Structured data - This is more or less a combination of the two other data types.
  • Examples of this include emails, tweets, etc.

    “Very interesting indeed. So are you saying that I need to learn data scraping as well?” A lot of people would say that you don’t necessarily need to learn data scraping, but believe it or not, data scraping is an important skill for any data scientist to have in their toolbox (I call mine a scroll of jutsus).

    With the rise of machine learning and data science over the past decades, the amount of data that is being generated is just so much, and it would be a wasted opportunity if we didn’t utilize them.

    “Alright, so data scraping is all about gathering data from the web, but Basty, why is it important?” That leads us to our next question: Why?

    The ideal vs reality

    It’s not always that we have data to work with despite having a pool of data.

    In a convenient world, we would always have access to clean, structured data, and be able to conduct analysis to it. However, it’s not always that we have access to this type of data, and that’s where the importance of data scraping comes in! Just imagine how valuable and awesome you would be if you can collect the data yourself!

    How awesome you ask? Picture a data scientist with data scraping skills. They can evade data blockers that may arise when a client has insufficient data. Just try to imagine a scenario when a company hires a data scientist that has no experience with data scraping. The company would have to resort to availing third-party services to do the data collection for them, and that is why having data scraping as a skill can also be cost-efficient. Not only that, but when a data scientist is skilled in data scraping, we can then assume that they’re skilled in programming as well!

    “I’m getting convinced on why data scraping is an important skill, but where does this actually apply in the real-world?” Excellent question, my friend!

    Web scraping can basically be used everywhere! The internet is literally the world’s database for information. From collecting data on products for sale, user posts, and images—you name it!

    Data scientists use it to extract information about products, such as its price, description, image, reviews, ratings, etc. on different platforms such as Amazon, Google Shopping, Shopee, or Lazada. The use cases of web scraping for business are endless, so let’s take a look at some other examples:

    • Social Media - Social Media collectively show valuable trends when looked at closely. That’s why a lot of marketing agencies scrape social media sites mostly to look at what people are saying about their products. They can scrape twitter hashtags, posts, and trends to utilize them for their own benefit.
    • Academic Research - Data is such an important aspect of research, and most of the time you’ll need to get them yourself. Scraping structured data off different sources is something you can utilize when needed.
    • Price comparison or competition tracker - A lot of companies today use web scraping to keep track of their competitors' price, value, services, and products to keep up to speed.

    Speaking of social media scraping, did you know that a company’s recruitment process involves a huge amount of data?

    The amount of data recruiters handle from resumes to assessments is too significant.

    Believe it or not, but a lot of recruiters these days also utilize web scraping, most commonly: social media scraping. Every now and then, recruiters would look upon a candidate’s Facebook page or any other profile because this helps them measure the suitability of a candidate to the role they’re applying for.

    How?

    So we’ve been talking about the what and why of data scraping, but how do you actually do data scraping? How do you learn and acquire this type of skill?

    Well, what’s a better way of learning something than experiencing it yourself? It’s time to get our hands dirty with some Python code!

    Don’t worry, we’ll be going through all the steps you need to take to do your first scraping project.

    NOTE: In this tutorial, we’ll be following Albert “Bash” Yumol’s demo on scraping your Facebook data using BeautifulSoup.


    Data project prompt

    Earlier I mentioned that a lot of recruiters these days utilize web scraping to look at a candidate’s profile, most commonly their Facebook data. That’s why we’re using Facebook data specifically today in our project.

    To give you an idea of what they can learn about your profile, let’s do the scraping job ourselves! This way, we can see what recruiters can potentially learn about our online persona. Let’s gooo!

    Data project tutorial

    Step 1: Get your Facebook data

    So first things first is to get your Facebook data. You can do this by logging in to your account.

    Then go to your Facebook information inside the settings and click on download your information.

    Now we don’t want to download all of our information because that will take a loooong time to process, so untick all the boxes except for your posts.

    Also, don’t forget to make sure that these are your filters:

    • Date Range: All of my data
    • Format: HTML
    • Media Quality: Low (We’re keeping this low so that it wouldn’t take a lot of time processing it)

    After downloading your Facebook information, make sure to unzip the file and locate your own your_posts_1.html

    Step 2: Install BeautifulSoup and WordCloud

    We won’t be tackling BeautifulSoup, but to give you an idea of what it is and why we use it, it is a Python package that we use to extract data from HTML files. Perfect with what we’re doing!

    The first thing you need to do for this step is to check the source code of your_posts_1.html file.

    We can do that by right clicking on the opened file and clicking on inspect element.


    Source: Albert Yumol's "Class Demo: Scraping your Facebook posts with BeautifulSoup" tutorial blog post

    Then hover over your posts and you’d be able to see a class that you can filter. Specifically, we’ll be targeting the _2pin class.


    Source: Albert Yumol's "Class Demo: Scraping your Facebook posts with BeautifulSoup" tutorial blog post

    Step 3: Python Code

    Now that we know we want to target all the classes that have _2pin on it, we can now actually start coding!

    Let’s start by importing the BeautifulSoup package.

    
    with open("your_posts_1.html") as html_file:
        soup = BeautifulSoup(html_file, "html.parser")```
    
    Since we already know what class we’ll be targeting, let’s now extract all of the posts that contain that class and put them inside a list.
    
    ```{
     "cells": [
      {
       "cell_type": "code",
       "execution_count": 3,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T00:03:55.288222Z",
         "start_time": "2020-05-20T00:03:55.242687Z"
        }
       },
       "outputs": [],
       "source": [
        "contents = soup.find_all(\"div\", class_=\"_2pin\")"
       ]
      },
      {
       "cell_type": "code",
       "execution_count": 4,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T00:03:59.907597Z",
         "start_time": "2020-05-20T00:03:59.879087Z"
        }
       },
       "outputs": [
        {
         "data": {
          "text/plain": [
           "[<div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated May 18, 2020, 10:42 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://www.youtube.com/watch?v=TAAaq7M0aXs&amp;t=2s\">https://www.youtube.com/watch?v=TAAaq7M0aXs&amp;t=2s</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Cats is live till today! 🐈🐯🦁</div><div>Updated May 17, 2020, 12:01 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/96685589_271232167340292_2840249524813824000_n_271232164006959.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/96685589_271232167340292_2840249524813824000_n_271232164006959.jpg\"/></a><div class=\"_3-95\">Today I taught a class in Statistical Learning (Singular Value Decomposition and Principal Component Analysis) and had to derive equations by hand.\n",
           " \n",
           " But I am poor and can't afford an Apple stylus so I used a wet QTip with my finger touching the base for conduction.\n",
           " \n",
           " It worked! 😂</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Today I taught a class in Statistical Learning (Singular Value Decomposition and Principal Component Analysis) and had to derive equations by hand.<br/> <br/> But I am poor and can't afford an Apple stylus so I used a wet QTip with my finger touching the base for conduction.<br/> <br/> It worked! 😂</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Me live in class 😂</div><div>Updated May 11, 2020, 9:30 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Will be teaching a class on Artificial Intelligence using Facebook's Pytorch Saturday, May 16, 7:00 PM to 8:30 PM!<br/> <br/> This is free, open for all with love. Sign up in the link below.<br/> <br/> Kudos to @[111178867208694:274:<a href=\"http://Techph.org\">Techph.org</a>] for the initiative in making learning accessible.<br/> <br/> #AI #machinelearning #datascience #projectmoses #covid19 #techforgood #onlinemeetup</div><div>Updated May 11, 2020, 5:36 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>ASLAN! 😭😭😭<br/> <br/> You will be missed. My forever rally buddy!<br/> <br/> I still remember when I got my first heart break. <br/> <br/> You see me staring blankly, sitting miserably at the CS lib steps, gnawing some crumbled pieces of bread I had saved to eat after NatSci class. You came from behind, brushed though my side, purred endearingly, flexing those inhuman big brown eyes.<br/> <br/> We feasted together, I was sad no more and we became constants since then. Enjoy your eternal sunbathes in heaven. My heart goes with you my little Garfield.</div><div>Updated May 8, 2020, 10:01 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>For my next electronics project,</div><div>Updated May 7, 2020, 10:02 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/95799845_264374221359420_5194004771115106304_o_264374218026087.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/95799845_264374221359420_5194004771115106304_o_264374218026087.jpg\"/></a><div class=\"_3-95\">Done shaving as requested by friends. Happy birthday @[100000661810294:2048:Megumi] and advanced happy birthday @[100000935904186:2048:Allen]!\n",
           " \n",
           " Catch up ulit soon. &lt;3\n",
           " \n",
           " #facecheck\n",
           " #whitelady\n",
           " #carereacts</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Done shaving as requested by friends. Happy birthday Megumi and advanced happy birthday Allen!<br/> <br/> Catch up ulit soon. ♥<br/> <br/> #facecheck<br/> #whitelady<br/> #carereacts</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div>Petition for 🤦 reacts para may balance.</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>open hardware ❤️</div><div>Updated Apr 30, 2020, 9:57 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://www.youtube.com/watch?v=eXP7ynpk1NY\">https://www.youtube.com/watch?v=eXP7ynpk1NY</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Did you know that the Phantom of the Opera Musical had a sequel called Love Never Dies?<br/> <br/> It's streamed free right now in YouTube till 2AM tomorrow.<br/> <br/> Goosebumps from beginning to end, watch now!</div><div>Updated Apr 25, 2020, 12:11 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/94428339_243979223464555_909163276182079383_n_258571998606309.mp4\"><a href=\"photos_and_videos/videos/94428339_243979223464555_909163276182079383_n_258571998606309.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/94105938_258580498605459_1465869585050763264_n.jpg\"/></a></video><div class=\"_3-95\">What will happen if you suddenly go to a party?\n",
           " \n",
           " Try this game to find out without actually risking it!!!\n",
           " \n",
           " It's called People of the Pandemic. The creators used agent-based modelling to simulate disease spread. You can choose your location (or type) and the activities that you do per week. You will also be playing with 19 (get it?) random people across the globe. In order to win, you need to cooperate.\n",
           " \n",
           " See how far you can last:\n",
           " https://peopleofthepandemicgame.com/\n",
           " \n",
           " If you are more interested in their methodology and the math:\n",
           " https://observablehq.com/@osserman/people-of-the-pandemic-simulation-methodology\n",
           " \n",
           " #complexityscience\n",
           " #socialdistancing_works</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>What will happen if you suddenly go to a party?<br/> <br/> Try this game to find out without actually risking it!!!<br/> <br/> It's called People of the Pandemic. The creators used agent-based modelling to simulate disease spread. You can choose your location (or type) and the activities that you do per week. You will also be playing with 19 (get it?) random people across the globe. In order to win, you need to cooperate.<br/> <br/> See how far you can last:<br/> <a href=\"https://peopleofthepandemicgame.com/\">https://peopleofthepandemicgame.com/</a><br/> <br/> If you are more interested in their methodology and the math:<br/> <a href=\"https://observablehq.com/@osserman/people-of-the-pandemic-simulation-methodology\">https://observablehq.com/@osserman/people-of-the-pandemic-simulation-methodology</a><br/> <br/> #complexityscience<br/> #socialdistancing_works</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div>Spotifytechph.orghttps://open.spotify.com/show/320tSh56tyb4bGnmkrYGvZ</div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Hey friends!<br/> <br/> <a href=\"http://techph.org\">techph.org</a> featured me on their 3rd episode. Here I share my experiences as an AI practitioner and a data scientist. <br/> <br/> Thank you @[100000466542184:2048:Luis Baring] for sharing the same passion in making technology more accessible to the Filipino masses. Subscribe to <a href=\"http://techph.org\">techph.org</a>’s podcast and listen to expertise-sharing among tech students and professionals.<br/> <br/> Listen as well to the first two episodes with @[1465071972:2048:Prince Javier] (Data Science and COVID-19) and @[758579664:2048:Sony Valdez] (On Python).</div><div>Updated Apr 19, 2020, 6:42 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/92761275_1447052618820303_678244350298997326_n_251813729282136.mp4\"><a href=\"photos_and_videos/videos/92761275_1447052618820303_678244350298997326_n_251813729282136.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/92486070_251816139281895_5759403504435200000_n.jpg\"/></a></video><div class=\"_3-95\">Is this cheating haha?\n",
           " \n",
           " I recreated a hack for playing ’T-Rex, Run!’ using a light-dependent resistor, servo motor, 10k resistor and Arduino. You can find the code here:\n",
           " \n",
           " https://github.com/albertyumol/LDR_dino\n",
           " \n",
           " If you don’t have a servo motor in hand you can also cheat (automate) the clicking by using PyAutoGUI module in Python.\n",
           " \n",
           " Thanks for the idea @[100000935904186:2048:Allen]!\n",
           " \n",
           " To my friends in quarantine, sending you all virtual hugs! Take things easy, it's ok to be sad and unproductive (we are in the middle of a pandemic anyway). Take care and happy Monday!\n",
           " \n",
           " #HardwareHacking</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Is this cheating haha?<br/> <br/> I recreated a hack for playing ’T-Rex, Run!’ using a light-dependent resistor, servo motor, 10k resistor and Arduino. You can find the code here:<br/> <br/> <a href=\"https://github.com/albertyumol/LDR_dino\">https://github.com/albertyumol/LDR_dino</a><br/> <br/> If you don’t have a servo motor in hand you can also cheat (automate) the clicking by using PyAutoGUI module in Python.<br/> <br/> Thanks for the idea Allen!<br/> <br/> To my friends in quarantine, sending you all virtual hugs! Take things easy, it's ok to be sad and unproductive (we are in the middle of a pandemic anyway). Take care and happy Monday!<br/> <br/> #HardwareHacking</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/92596855_248285336301642_8546258713084690432_o_248285332968309.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/92596855_248285336301642_8546258713084690432_o_248285332968309.jpg\"/></a><div class=\"_3-95\">[TODAY IN TECH HISTORY]\n",
           " \n",
           " Fifteen years ago (7 April 2005), Linus Torvalds - creator of linux released git.\n",
           " \n",
           " Git is a distributed version-control system for tracking changes in source code during software development.\n",
           " \n",
           " He released it as an open source product that everyone can use for free. Can’t imagine work without it.\n",
           " \n",
           " Happy Git day and just keep pushing! :)</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>[TODAY IN TECH HISTORY]<br/> <br/> Fifteen years ago (7 April 2005), Linus Torvalds - creator of linux released git.<br/> <br/> Git is a distributed version-control system for tracking changes in source code during software development.<br/> <br/> He released it as an open source product that everyone can use for free. Can’t imagine work without it.<br/> <br/> Happy Git day and just keep pushing! :)</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/91899077_248280786302097_6991767571712180224_o_248280779635431.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/91899077_248280786302097_6991767571712180224_o_248280779635431.jpg\"/></a><div class=\"_3-95\">No regrets, highly recommended!</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>No regrets, highly recommended!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Yu-Gi-Oh + Beyblade + Bakugan + Goo with earlobe + tsinelas = childhood</div><div>Updated Apr 7, 2020, 7:22 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div>If you can, look at the moon. 🌕</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>❤️</div><div>Updated Apr 2, 2020, 6:13 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/\">https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Mozilla is announcing today the creation of a COVID-19 Solutions Fund as part of the Mozilla Open Source Support Program (MOSS). Through this fund, we will provide awards of up to $50,000 each to open source technology projects which are responding to the COVID-19 pandemic in some way.<br/> <br/> @[262134952380:274:Mozilla], @[216395756275:274:Mozilla Philippines Community]<br/> <br/> <a href=\"https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/\">https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/</a></div><div>Updated Apr 1, 2020, 7:49 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>😰</div><div>Updated Mar 30, 2020, 10:11 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 30, 2020, 9:11 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>😅</div><div>Updated Mar 29, 2020, 10:57 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>newton the best</div><div>Updated Mar 29, 2020, 10:55 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/90942780_241994313597411_764009836542164992_o_241994310264078.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/90942780_241994313597411_764009836542164992_o_241994310264078.jpg\"/></a><div class=\"_3-95\">Starting my Earth Hour/s early!\n",
           " \n",
           " For those who can, turn off your lights for our planet. One hour (or more) can make a difference. &lt;3\n",
           " \n",
           " Official Time: 8:30 - 9:30 PM Local Time</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Starting my Earth Hour/s early!<br/> <br/> For those who can, turn off your lights for our planet. One hour (or more) can make a difference. ♥<br/> <br/> Official Time: 8:30 - 9:30 PM Local Time</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Nani?</div><div>Updated Mar 26, 2020, 9:48 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/90901285_240105420452967_144179548160786432_o_240105417119634.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/90901285_240105420452967_144179548160786432_o_240105417119634.jpg\"/></a><div class=\"_3-95\">Good morning to my programmer friends!\n",
           " \n",
           " Code time. 😂\n",
           " Don't let corona 'bug' you.</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Good morning to my programmer friends!<br/> <br/> Code time. 😂<br/> Don't let corona 'bug' you.</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>nasa bahay mga kapitbahay!</div><div>Updated Mar 24, 2020, 12:28 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/10000000_224846182218633_651007385912475159_n_239199053876937.mp4\"><a href=\"photos_and_videos/videos/10000000_224846182218633_651007385912475159_n_239199053876937.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/83909642_239199567210219_8675029868502581248_n.jpg\"/></a></video><div class=\"_3-95\">Good afternoon mga ka-quarantine!\n",
           " Maliban sa mga politicians na pa-VIP na pa-test nang pa-test pa rin kahit wala namang symptoms, pati narin sa mga bumoto pabor sa HB 6616.\n",
           " \n",
           " Dahil mga ahas po kayo, eto ang ‘8-bit’ snake game na ginawa ko sa Arduino.\n",
           " Ma-game over din kayo.\n",
           " \n",
           " If you want to replicate the game, kailangan mo ng Keyes Joystick at 8x8 LED matrix. Ito ang code sa GitHub:\n",
           " https://github.com/albertyumol/snake_game_arduino\n",
           " \n",
           " #masstestingnow\n",
           " #HappyArduinoMonth</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Good afternoon mga ka-quarantine!<br/> Maliban sa mga politicians na pa-VIP na pa-test nang pa-test pa rin kahit wala namang symptoms, pati narin sa mga bumoto pabor sa HB 6616.<br/> <br/> Dahil mga ahas po kayo, eto ang ‘8-bit’ snake game na ginawa ko sa Arduino.<br/> Ma-game over din kayo.<br/> <br/> If you want to replicate the game, kailangan mo ng Keyes Joystick at 8x8 LED matrix. Ito ang code sa GitHub:<br/> <a href=\"https://github.com/albertyumol/snake_game_arduino\">https://github.com/albertyumol/snake_game_arduino</a><br/> <br/> #masstestingnow<br/> #HappyArduinoMonth</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 23, 2020, 5:20 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>International Solidarity ❤️</div><div>Updated Mar 23, 2020, 2:29 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div>Hello mare!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>ok next project. but will play Lady Gaga songs</div><div>Updated Mar 22, 2020, 3:27 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div>the audacity! di ka na nahiya! 😠😡😡</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>I have better teeth though haha</div><div>Updated Mar 22, 2020, 11:10 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"http://bit.ly/dataethicsframework\">http://bit.ly/dataethicsframework</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>To a more ethical and human centered tech, share your ideas! ❤️</div><div>Updated Mar 20, 2020, 10:06 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>😢 ✊</div><div>Updated Mar 20, 2020, 1:29 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"http://127.0.0.1/\">http://127.0.0.1/</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Good morning mga ka-quarantine!<br/> Maliban sa mga umaaway sa bi-Vico.<br/> <br/> Friendly techy reminder to,<br/> (1) If you can, stay at 127.0.0.1<br/> (2) Don't be 0.0.0.0<br/> (3) And if you go out, wear a 255.255.255.0<br/> <br/> Avoid doing handshakes, do the shaka instead. 😄 Like shaka ka Mocha Uson.</div><div>Updated Mar 20, 2020, 2:31 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Keep moving forward! ❤️</div><div>Updated Mar 19, 2020, 2:23 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Learned something new virtually about time series and model deployment with AWS. ❤️</div><div>Updated Mar 19, 2020, 1:05 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 19, 2020, 1:01 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 19, 2020, 7:22 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 18, 2020, 7:16 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSczuLnRK3bYRCv-_w7zjJy4Ov_a2-e0abupRBa-8UNeSGjxKg/viewform?fbclid=IwAR3DRcdrAWuso96zOSmY4eLxuHnD09cjomTUuhrPJROJkqrDM_iqDzJ7SUQ\">https://docs.google.com/forms/d/e/1FAIpQLSczuLnRK3bYRCv-_w7zjJy4Ov_a2-e0abupRBa-8UNeSGjxKg/viewform?fbclid=IwAR3DRcdrAWuso96zOSmY4eLxuHnD09cjomTUuhrPJROJkqrDM_iqDzJ7SUQ</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 18, 2020, 6:25 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and\">https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>[Day 3 of Work Quarantine]<br/> Hey guys!<br/> <br/> In 2016, the UN declared that internet is a human right. We are very fortunate that we are living in this time of technology and digital connectedness. Although we try our best to keep away from each other physically, we are bonded by the internet. Musicians are streaming free concerts, video calls keep us working, and through different platforms we extend help to each other.<br/> <br/> But the internet is also a dialectic tool. It can be used for good or bad and it has some side effects. The surge and influx of information online can cause a lot of anxiety.  It’s a good thing that our friends from @[262134952380:274:Mozilla] curated this amazing resources to keep us informed in this stressful time.<br/> <br/> Happy reading:<br/> <br/> * What To Do If You Are Sick (US Centers for Disease Control &amp; Prevention) <br/> [<a href=\"https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html\">https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html</a>]<br/> <br/> * Tips for Staying at Home if You Are Sick (UK National Health Service) <br/> [<a href=\"https://www.nhs.uk/conditions/coronavirus-covid-19/self-isolation-advice/\">https://www.nhs.uk/conditions/coronavirus-covid-19/self-isolation-advice/</a>]<br/> <br/> * 7 Ways to Avoid Misinformation During the Coronavirus Pandemic (Politifact)<br/> [<a href=\"https://www.politifact.com/article/2020/mar/12/7-ways-avoid-misinformation-during-coronavirus-pan/\">https://www.politifact.com/article/2020/mar/12/7-ways-avoid-misinformation-during-coronavirus-pan/</a>]<br/> <br/> * World Health Organization Coronavirus Mythbusters (World Health Organization) <br/> [<a href=\"https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters\">https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters</a>]<br/> <br/> * The Best and Worst Coronavirus Dashboards (MIT Technology Review)<br/> [<a href=\"https://www.technologyreview.com/s/615330/best-worst-coronavirus-dashboards/\">https://www.technologyreview.com/s/615330/best-worst-coronavirus-dashboards/</a>]<br/> <br/> * How Wikipedia Prevents the Spread of Coronavirus Misinformation (Wired)<br/> [<a href=\"https://www.wired.com/story/how-wikipedia-prevents-spread-coronavirus-misinformation/\">https://www.wired.com/story/how-wikipedia-prevents-spread-coronavirus-misinformation/</a>]<br/> <br/> * List of Free Activities for Kids During School Closings (Kids Activities Blog) <br/> [<a href=\"https://kidsactivitiesblog.com/135609/list-of-education-companies-offering-free-subscriptions/\">https://kidsactivitiesblog.com/135609/list-of-education-companies-offering-free-subscriptions/</a>]<br/> <br/> * 8 Tips to Make Working from Home Work for You (National Public Radio) <br/> [<a href=\"https://www.npr.org/2020/03/15/815549926/8-tips-to-make-working-from-home-work-for-you\">https://www.npr.org/2020/03/15/815549926/8-tips-to-make-working-from-home-work-for-you</a>]<br/> <br/> * COVID-19 could kill the for-profit science publishing model. That would be a good thing. (Los Angeles Times) <br/> [<a href=\"https://www.latimes.com/business/story/2020-03-03/covid-19-open-science\">https://www.latimes.com/business/story/2020-03-03/covid-19-open-science</a>]<br/> <br/> * Coronavirus outbreak changes how scientists communicate (American Association for the Advancement of Science) <br/> [<a href=\"https://www.sciencemag.org/news/2020/02/completely-new-culture-doing-research-coronavirus-outbreak-changes-how-scientists\">https://www.sciencemag.org/news/2020/02/completely-new-culture-doing-research-coronavirus-outbreak-changes-how-scientists</a>]<br/> <br/> * How to Manage Anxiety and Isolation During Quarantine (Anxiety and Depression Association of America) <br/> [<a href=\"https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and\">https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and</a>]<br/> <br/> * Coronavirus Kindness: The people offering help as the virus spreads (BBC) <br/> [<a href=\"https://www.bbc.com/news/uk-51908023\">https://www.bbc.com/news/uk-51908023</a>]<br/> <br/> Keep in mind that an open and healthy internet is one of the best tool that we have to make it through these times. Spread positivity not the virus! 🦠 <br/> <br/> P.S. I hope that the government is convinced that internet is becoming more and more essential and should adopt measures to make it more accessible and eventually free! (Of course after they prioritize providing basic social services first and not relying to private corps).</div><div>Updated Mar 18, 2020, 3:10 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8\">https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>To sum it up — #vizresponsibly; which may mean not publishing your visualizations in the public domain at all<br/> <br/> (1) Do more to understand the numbers than just downloading and diving right into a dataset.<br/> (2) Case numbers are the most readily available, thorough, routinely updated data sources, but that doesn’t make them simple to visualize.<br/> (3) Aggregations and calculations that can be done with the case data are not necessarily what should be done with the case data.<br/> (4) Be cautious when making generalized predictions or comparisons based on regionally specific data.<br/> (5) Visualizations should inform and be honest about what isn’t represented.<br/> (6) Epidemiologists and public health agencies create complex models to understand how the disease may progress.<br/> (7) Data scientists and statisticians have also been publishing their own models and related conclusions about disease projections.<br/> (8) Make thoughtful design decisions.<br/> (9) Consider the human side of what you create.<br/> (10) Consider how visualizations can impact (and encourage) social responsibility as we see COVID-19 in our respective communities.<br/> <br/> <a href=\"https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8\">https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8</a></div><div>Updated Mar 17, 2020, 3:15 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge\">https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>AI expert friends!</div><div>Updated Mar 17, 2020, 9:10 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 17, 2020, 7:57 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/90018448_1800558606746131_8131499647391394633_n_234122894384553.mp4\"><a href=\"photos_and_videos/videos/90018448_1800558606746131_8131499647391394633_n_234122894384553.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/83925932_234127007717475_4318644136442855424_n.jpg\"/></a></video><div class=\"_3-95\">[Day 1 of Work Quarantine]\n",
           " \n",
           " I turned to an extreme germophobe the past days to the point that I decided to build an automated alcohol dispenser to avoid touching it.\n",
           " \n",
           " If you want to replicate it, you need:\n",
           " (1) My code on Github [https://github.com/albertyumol/automated_alcohol_dispenser]\n",
           " (2) Arduino Uno/ Arduino Nano\n",
           " (3) 2 Servo Motors\n",
           " (4) An alcohol with pump type container\n",
           " (5) Breadboard (optional)\n",
           " (6) Ultrasonic Sensor\n",
           " (7) Power Supply (a.k.a. 5V power bank)\n",
           " (8) Some wires\n",
           " \n",
           " I will also record my 'alcohol intake' for me to analyze if I am oversanitizing my hands and killing my entire microbiome.\n",
           " \n",
           " On a more serious note, I really find it hard to get my self motivated to work at home. I can no longer visit Ate Karinderya’s cheap meals and Manong Taho’s soy drink and have those small conversations about simple things and life. I am lucky enough that I can Work From Home (WFH) but I can't brush off the idea that majority of Filipinos are having a hard time to make ends meet (and stay virus-free) in these trying times.\n",
           " \n",
           " Not to downplay my personal struggles, but a  lot of times I am too absorbed with petty things like the WiFi is slow, why can’t the DDS stop smart shaming so we can start discourse on a higher level, why are the military personnel at the checkpoints brandishing guns instead of temperature monitoring sensors and test kits (or even just follow PPE)!\n",
           " \n",
           " For me to move forward, the best way is to compartmentalize, prioritize my struggles and focus on the actionable!\n",
           " \n",
           " To all my bright friends, there are a lot of things that we can do. I am already a part of an initiative to build an online self triage app and mask supply/demand mapping system for our health workers.\n",
           " \n",
           " Browse online on any volunteer efforts to help out with the corona crisis or start your own initiative! Let's not wait for heroes. We are all the heroes that we have and need. Remember to be inspired and use your energy for the better!\n",
           " \n",
           " Thanks for the alcohol dispenser idea, @[100000222310219:2048:Rheurhon]!</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>[Day 1 of Work Quarantine]<br/> <br/> I turned to an extreme germophobe the past days to the point that I decided to build an automated alcohol dispenser to avoid touching it.<br/> <br/> If you want to replicate it, you need:<br/> (1) My code on Github [<a href=\"https://github.com/albertyumol/automated_alcohol_dispenser\">https://github.com/albertyumol/automated_alcohol_dispenser</a>]<br/> (2) Arduino Uno/ Arduino Nano<br/> (3) 2 Servo Motors<br/> (4) An alcohol with pump type container<br/> (5) Breadboard (optional)<br/> (6) Ultrasonic Sensor<br/> (7) Power Supply (a.k.a. 5V power bank)<br/> (8) Some wires<br/> <br/> I will also record my 'alcohol intake' for me to analyze if I am oversanitizing my hands and killing my entire microbiome.<br/> <br/> On a more serious note, I really find it hard to get my self motivated to work at home. I can no longer visit Ate Karinderya’s cheap meals and Manong Taho’s soy drink and have those small conversations about simple things and life. I am lucky enough that I can Work From Home (WFH) but I can't brush off the idea that majority of Filipinos are having a hard time to make ends meet (and stay virus-free) in these trying times.<br/> <br/> Not to downplay my personal struggles, but a  lot of times I am too absorbed with petty things like the WiFi is slow, why can’t the DDS stop smart shaming so we can start discourse on a higher level, why are the military personnel at the checkpoints brandishing guns instead of temperature monitoring sensors and test kits (or even just follow PPE)!<br/> <br/> For me to move forward, the best way is to compartmentalize, prioritize my struggles and focus on the actionable!<br/> <br/> To all my bright friends, there are a lot of things that we can do. I am already a part of an initiative to build an online self triage app and mask supply/demand mapping system for our health workers.<br/> <br/> Browse online on any volunteer efforts to help out with the corona crisis or start your own initiative! Let's not wait for heroes. We are all the heroes that we have and need. Remember to be inspired and use your energy for the better!<br/> <br/> Thanks for the alcohol dispenser idea, Rheurhon!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/89098973_228288281640203_5068256005658247168_n_232888997841276.mp4\"><a href=\"photos_and_videos/videos/89098973_228288281640203_5068256005658247168_n_232888997841276.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/82105906_232889094507933_2748816233792012288_n.jpg\"/></a></video><div class=\"_3-95\">Configured my plant sensor to shout love pi!!!\n",
           " \n",
           " Happy pi day everyone.\n",
           " \n",
           " Hope you are all safe wherever you are. ❤️\n",
           " \n",
           " P.S. Thanks to Duterte, nakita ko yung mga barya sa ilalim ng paso.</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Configured my plant sensor to shout love pi!!!<br/> <br/> Happy pi day everyone.<br/> <br/> Hope you are all safe wherever you are. ❤️<br/> <br/> P.S. Thanks to Duterte, nakita ko yung mga barya sa ilalim ng paso.</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>bless these kids 😅</div><div>Updated Mar 13, 2020, 12:11 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Mar 10, 2020, 7:48 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/87690072_219900325867833_384265021832679011_n_226333715163471.mp4\"><a href=\"photos_and_videos/videos/87690072_219900325867833_384265021832679011_n_226333715163471.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/75448772_226334055163437_2395738216612233216_n.jpg\"/></a></video><div class=\"_3-95\">Happy birthday @[542408854:2048:Reina]!</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Happy birthday Reina!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>❤️❤️❤️</div><div>Updated Mar 3, 2020, 3:04 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Happy women's month!</div><div>Updated Mar 3, 2020, 11:06 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><video class=\"_2yuc _3-96\" controls=\"1\" src=\"photos_and_videos/videos/88309449_636014123888097_5329553453387538384_n_225702528559923.mp4\"><a href=\"photos_and_videos/videos/88309449_636014123888097_5329553453387538384_n_225702528559923.mp4\"><div>Click for video:</div><img src=\"photos_and_videos/thumbnails/75271781_225702985226544_8552902378951540736_n.jpg\"/></a></video><div class=\"_3-95\">March is Arduino month!\n",
           " \n",
           " This month I will be posting open hardware related content every week. I noticed that my 'maker room' has been dormant the past year since I got too absorbed with this data science thingy. \n",
           " \n",
           " In the process, I am also hoping to avoid sensors, microcontrollers, and microcomputers being rusted by taking them out of their dusty drawers. Eventually I plan to donate my extra stuff (thanks to Marie Kondo!) to out of school kids who want to learn robotics.\n",
           " \n",
           " It is so refreshing doing code and appreciate it manifest physically. Here is an ultrasonic sensor coupled with some mood LEDs to brighten up your day.\n",
           " \n",
           " As the sensor sense an object nearing it, it signals the LEDs to light up. More LEDs will glow in sequence as the object gets closer. This type of technology has been the backbone of familiar systems we encounter everyday. Recall your sensor enabled mall doors and auto-lighting fixtures. I think IoT (Internet of Things) is the next big thing after data analytics.\n",
           " \n",
           " Reminding all my friends that open source is love and is the future ❤️.</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>March is Arduino month!<br/> <br/> This month I will be posting open hardware related content every week. I noticed that my 'maker room' has been dormant the past year since I got too absorbed with this data science thingy. <br/> <br/> In the process, I am also hoping to avoid sensors, microcontrollers, and microcomputers being rusted by taking them out of their dusty drawers. Eventually I plan to donate my extra stuff (thanks to Marie Kondo!) to out of school kids who want to learn robotics.<br/> <br/> It is so refreshing doing code and appreciate it manifest physically. Here is an ultrasonic sensor coupled with some mood LEDs to brighten up your day.<br/> <br/> As the sensor sense an object nearing it, it signals the LEDs to light up. More LEDs will glow in sequence as the object gets closer. This type of technology has been the backbone of familiar systems we encounter everyday. Recall your sensor enabled mall doors and auto-lighting fixtures. I think IoT (Internet of Things) is the next big thing after data analytics.<br/> <br/> Reminding all my friends that open source is love and is the future ❤️.</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/88213238_224394665357376_6574244334760099840_o_224394658690710.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/88213238_224394665357376_6574244334760099840_o_224394658690710.jpg\"/></a><div class=\"_3-95\">Some people in my age group are already settling down, having their own families and children. Here I am on a Saturday afternoon raising and feeding my Raspberry Pi 4 quadruplets with code, training them to cluster (beowulf!), teaching them how to feel (with sensors) and how to respond (with actuators). I hope that they will grow with love and kindness in their hearts and will do good for others.\n",
           " \n",
           " #InternetOfTito\n",
           " #BotParenting\n",
           " #BitsOfLove</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Some people in my age group are already settling down, having their own families and children. Here I am on a Saturday afternoon raising and feeding my Raspberry Pi 4 quadruplets with code, training them to cluster (beowulf!), teaching them how to feel (with sensors) and how to respond (with actuators). I hope that they will grow with love and kindness in their hearts and will do good for others.<br/> <br/> #InternetOfTito<br/> #BotParenting<br/> #BitsOfLove</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://thepowerofsilence.co/just-because-i-carry-my-load-well-doesnt-mean-it-is-not-heavy/\">https://thepowerofsilence.co/just-because-i-carry-my-load-well-doesnt-mean-it-is-not-heavy/</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Feb 29, 2020, 9:36 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Thanks to @[251859122016774:274:R Users Group - Philippines] for giving us a platform and an opportunity to share our advocacy on social good with data. We were able to gather and crowd source solutions to improve our mini-project on mapping nCov cases in the Philippines.<br/> <br/> We learned new things as well from @[553459093:2048:Ver Anthony] 's (VA's) GIS 101. Now I understand how to make better maps with the correct projection system (e.g. WGS84).<br/> <br/> Looking forward to future meet-ups with R community. Data is getting more interesting day by day, so much more when we involve people, make them aware of the possibilities with it, and continue learning collectively.</div><div>Updated Feb 26, 2020, 9:16 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>✊🧡</div><div>Updated Feb 22, 2020, 1:31 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://www.meetup.com/R-User-Group-Philippines/events/npdrgpybcdbzb/?fbclid=IwAR09hPgz_U4e4wntRardIHxjJivyFYwOYJzP47dGqgQo-8D7cis3jTBFUoU\">https://www.meetup.com/R-User-Group-Philippines/events/npdrgpybcdbzb/?fbclid=IwAR09hPgz_U4e4wntRardIHxjJivyFYwOYJzP47dGqgQo-8D7cis3jTBFUoU</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Hey friends! If you want to catch up and talk data, please join us tonight at R Users Group - Philippines Meetup, 6PM at Sykes Glorietta.<br/> <br/> Me and a teammate will share our initiative in mapping nCov status in Philippines using R shiny and Natural Language Processing of news articles.<br/> <br/> See you!</div><div>Updated Feb 19, 2020, 10:28 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Feb 17, 2020, 4:08 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86499516_215567679573408_1420017398961930240_o_215567676240075.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86499516_215567679573408_1420017398961930240_o_215567676240075.jpg\"/></a></div></td><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86653872_215579892905520_1547560107833819136_o_215579886238854.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86653872_215579892905520_1547560107833819136_o_215579886238854.jpg\"/></a></div></td><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86290591_215580059572170_8263234447181086720_o_215580052905504.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86290591_215580059572170_8263234447181086720_o_215580052905504.jpg\"/></a></div></td><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86309519_215580256238817_5527852527493578752_o_215580249572151.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86309519_215580256238817_5527852527493578752_o_215580249572151.jpg\"/></a></div></td><td class=\"_51m- pas _51mw\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86601643_215580452905464_1292584490928963584_o_215580449572131.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86601643_215580452905464_1292584490928963584_o_215580449572131.jpg\"/></a></div></td></tr><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86730653_215580886238754_5477466698481139712_o_215580882905421.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86730653_215580886238754_5477466698481139712_o_215580882905421.jpg\"/></a></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Brought my teammates this time teaching out-of-school youth children hosted by Action for the Care and Development of the Poor in the Philippines in Paranaque. We partnered with Meet IT foundation from Poland teaching topics on Algorithms and Robotics.<br/> <br/> Aleksander from MeetIT was amazed not only in their potential and organic ability but also in their tenacity to keep solving our problem set.<br/> <br/> I hope more of us will recognize and support the talent of our Filipino youth. Let's nourish our human resources by enabling and empowering them to learn.<br/> <br/> If you want to join us next time we conduct volunteer teaching please send me a DM.<br/> <br/> Short term goal for me is to connect these kids with expert teachers in Poland (some are business partners) to support them for future studies. Long term would be convincing our own people (hopefully the government) to invest in the education of the marginalized.<br/> <br/> My heart melted as we were leaving, smiles on their faces and some shouting, \"Balik po kayo, gusto naming matuto!\".<br/> <br/> Angelie Maglasang Jeriesa Osorio Johnny Ong Gabriel Daos Mateusz Maciej Masłowski Marek Bardoński</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/86643521_215036102959899_8514756678451724288_o_215036099626566.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/86643521_215036102959899_8514756678451724288_o_215036099626566.jpg\"/></a><div class=\"_3-95\">Forgot to say thanks to the person who left this at my desk. 😂\n",
           " \n",
           " Happy Valentines everyone!</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Forgot to say thanks to the person who left this at my desk. 😂<br/> <br/> Happy Valentines everyone!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/84833395_214914436305399_9101411492682530816_n_214914432972066.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/84833395_214914436305399_9101411492682530816_n_214914432972066.jpg\"/></a><div class=\"_3-95\">So proud of our first @[2564617023765282:274:Eskwelabs] Business Intelligence SkillCamp graduates. \n",
           " \n",
           " I hope that you will find value to what we shared the past two weeks. Use your new SQL, PowerBI, and wrangling hacks to make sense of data no matter how big, real, and complex it is.\n",
           " \n",
           " Remember that learning is continuous, motivational, and curious. Spread your data-driven mindset!</div></div></td></tr></tbody></table></div><div><div><div><div><div>Place: <a href=\"https://www.facebook.com/AsianInstituteofManagement/\">Asian Institute of Management</a> (14.552194170171, 121.01866041352)</div><div>Address: 123 Paseo de Roxas, 1229 Makati</div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>So proud of our first Eskwelabs Business Intelligence SkillCamp graduates. <br/> <br/> I hope that you will find value to what we shared the past two weeks. Use your new SQL, PowerBI, and wrangling hacks to make sense of data no matter how big, real, and complex it is.<br/> <br/> Remember that learning is continuous, motivational, and curious. Spread your data-driven mindset!</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84479873_214256686371174_7917971509543436288_o_214256679704508.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84479873_214256686371174_7917971509543436288_o_214256679704508.jpg\"/></a></div></td><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84296526_214256673037842_8438776765660266496_o_214256669704509.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84296526_214256673037842_8438776765660266496_o_214256669704509.jpg\"/></a></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>I spent today teaching robotics (with Lego WeDo 2.0) to out-of-school-youth children in Tondo Manila. <br/> <br/> Meet EJ (left) and Johnrey (right).  <br/> <br/> Their drive for learning is so inspiring. I am surprised at how easy they were able to comprehend programming concepts (loops and conditionals) and execute hardware tinkering in a whip.<br/> <br/> I really hope to see more opportunities for these kids. Who knows, they might be our future innovators and tech disruptors. <br/> <br/> The future looks bright if education and technology is accessible for all regardless of socio-economic background, race, and gender.<br/> <br/> Good job for enabling Meet IT Mateusz Maciej Masłowski Marek Bardoński.</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86266790_213453963118113_5298761879617798144_o_213453959784780.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/86266790_213453963118113_5298761879617798144_o_213453959784780.jpg\"/></a><div class=\"_3-95\">The past two months I’ve been working with young bright data practitioners in an effort to use data science and analytics in the Philippines for social good and impact. \n",
           " \n",
           " One of the projects that we did was an entry for the Open Bangsamoro Data Challenge which was held yesterday at the Development Academy of the Philippines. The objective of the competition was to use data by providing insights, solutions, or strategies that will be of help to the development of the Bangsamoro Autonomous Region. We were excited that our government is starting to make efforts in opening data for crowd sourcing solutions. \n",
           " \n",
           " We tackled the issue of education since the region historically has the highest number of drop out rates and lowest rate of student attendance in the country. We used a simple random forest model (prototype) for feature importance and found out that birth certificates, environment for child labor, and poverty were the top indicators. We also made an interactive bivariate choropleth map that may help officials identify target areas for education development. Knowing these indicators can help decision makers objectively weave laws and projects for their constituents. \n",
           " \n",
           " Education is a complex system to solve and needs collective wisdom not only of government officials, technologists, but also and most importantly the communities as well. \n",
           " \n",
           " I hope that open data will be the norm in the Philippines. Open data done correctly can lead to transparency, better governance, and multitude of innovations. I hope as well that more and more technologists, engineers and scientists will be inspired to create meaningful solutions for Filipinos.\n",
           " \n",
           " #ServeThePeople #ScienceForThePeople #DataScienceForSocialGood\n",
           " \n",
           " P.S. Thanks to @[109825717117038:274:Data Ethics PH], @[123046014388681:274:PwC Philippines] and  @[2564617023765282:274:Eskwelabs] for the avenue and support.\n",
           " \n",
           " @[100000038546076:2048:Johnny Ong] @[100000018021550:2048:Jeriesa Osorio] @[1252050759:2048:Gabriel Daos] @[100000098606576:2048:Angelie Maglasang] @[100008989593258:2048:Elissa Cabal] @[1291992600:2048:Lex Tanganco] @[100000443449191:2048:Henry Laynesa Jr.] @[1789226130:2048:Ron Medina]</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>The past two months I’ve been working with young bright data practitioners in an effort to use data science and analytics in the Philippines for social good and impact. <br/> <br/> One of the projects that we did was an entry for the Open Bangsamoro Data Challenge which was held yesterday at the Development Academy of the Philippines. The objective of the competition was to use data by providing insights, solutions, or strategies that will be of help to the development of the Bangsamoro Autonomous Region. We were excited that our government is starting to make efforts in opening data for crowd sourcing solutions. <br/> <br/> We tackled the issue of education since the region historically has the highest number of drop out rates and lowest rate of student attendance in the country. We used a simple random forest model (prototype) for feature importance and found out that birth certificates, environment for child labor, and poverty were the top indicators. We also made an interactive bivariate choropleth map that may help officials identify target areas for education development. Knowing these indicators can help decision makers objectively weave laws and projects for their constituents. <br/> <br/> Education is a complex system to solve and needs collective wisdom not only of government officials, technologists, but also and most importantly the communities as well. <br/> <br/> I hope that open data will be the norm in the Philippines. Open data done correctly can lead to transparency, better governance, and multitude of innovations. I hope as well that more and more technologists, engineers and scientists will be inspired to create meaningful solutions for Filipinos.<br/> <br/> #ServeThePeople #ScienceForThePeople #DataScienceForSocialGood<br/> <br/> P.S. Thanks to Data Ethics PH, PwC Philippines and  Eskwelabs for the avenue and support.<br/> <br/> Johnny Ong Jeriesa Osorio Gabriel Daos Angelie Maglasang Elissa Cabal Lex Tanganco Henry Laynesa Jr. Ron Medina</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84105459_212492216547621_5318439336708931584_n_212492213214288.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/TimelinePhotos_T1pxmEBsfg/84105459_212492216547621_5318439336708931584_n_212492213214288.jpg\"/></a><div class=\"_3-95\">We created an interactive dashboard to track not only confirmed but also suspected cases of nCov in PH using news data. Check out and be updated!\n",
           " \n",
           " #DataScienceForSocialGood\n",
           " \n",
           " @[1465071972:2048:Prince Javier] @[100000098606576:2048:Angelie Maglasang] @[1252050759:2048:Gabriel Daos]\n",
           " \n",
           " https://ncov-tracker.herokuapp.com/\n",
           " \n",
           " Note: This is still under development, still polishing code and doing QA. :)</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>We created an interactive dashboard to track not only confirmed but also suspected cases of nCov in PH using news data. Check out and be updated!<br/> <br/> #DataScienceForSocialGood<br/> <br/> Prince Javier Angelie Maglasang Gabriel Daos<br/> <br/> <a href=\"https://ncov-tracker.herokuapp.com/\">https://ncov-tracker.herokuapp.com/</a><br/> <br/> Note: This is still under development, still polishing code and doing QA. :)</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://thecorrespondent.com/245/no-matter-what-you-think-of-protesters-you-have-them-to-thank-for-societys-progress/32432842750-005740a8\">https://thecorrespondent.com/245/no-matter-what-you-think-of-protesters-you-have-them-to-thank-for-societys-progress/32432842750-005740a8</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Feb 9, 2020, 11:31 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Open data for transparency! 😍</div><div>Updated Feb 6, 2020, 5:01 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Updated Feb 6, 2020, 12:08 AM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Had fun doing data in python with @[2107113999507766:274:Python Philippines]'s Kaizend and @[542408854:2048:Reina]!<br/> <br/> Would recommend 100% @[1945562788990976:274:DIY Data Workshops] for those who want to get their hands dirty with data by evaluating trends and drawing conclusions from interesting datasets.<br/> <br/> If you have more time, you can also try our ten week-long Data Science Bootcamp at @[2564617023765282:274:Eskwelabs]. I will be handling some of the classes in Machine Learning and Deep Learning.<br/> <br/> Classes will start by March. Sign up here: <a href=\"https://www.eskwelabs.com/bootcamp-ds.html\">https://www.eskwelabs.com/bootcamp-ds.html</a></div><div>Updated Jan 19, 2020, 9:27 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>With all the Lorenz, Rossler and logistic maps!</div><div>Updated Jan 11, 2020, 2:50 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>@[100033605328224:2048:Bash]</div><div>Updated Dec 5, 2019, 8:40 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/77417252_188509298945913_1247247726685454336_o_188509292279247.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/77417252_188509298945913_1247247726685454336_o_188509292279247.jpg\"/></a></div></td><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/78320542_188509325612577_2277140932480466944_o_188509322279244.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/78320542_188509325612577_2277140932480466944_o_188509322279244.jpg\"/></a></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Local News: Japanese research colleagues unfazed by Philippine traffic, still on-time for 9AM conference<br/> <br/> #KeepUpFilipinoFriends<br/> 😅</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://albertyumol.github.io/Predicting-Rallies/\">https://albertyumol.github.io/Predicting-Rallies/</a>#</div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>I believe that rallies are relevant in transforming society. These events demonstrate the capacity of people and their collective action to influence political decisions and public policies. Throughout history, rallies urged pro-people labor laws, voting rights for women, and free education in state universities and colleges among others.<br/> <br/> In this blog post, I developed a model to predict future events of big rallies in the Philippines by correlating it to online dissent and mentions in news and social media using a coupled Burstiness and Hidden Markov Model with the GDELT dataset.<br/> <br/> Lesson: <br/> Data science is a dialectic tool. It can be used for good or evil but sometimes these two are hard to discern when we are ignorant. Having knowledge of when rallies occur from online-verse gives activists hindsight on how to organize and mobilize better but the same knowledge can also be used by reactionary state forces to suppress social movements in favor of the status quo.<br/> <br/> Ultimately, it is up to you to decide whether talking about the issues of farmers being killed, SEA Games funds being corrupted, or the Philippines being the No. 1 rice importer in the world is relevant to talk about and rally for.<br/> <br/> I wish to extended my sincerest gratitude to @[2564617023765282:274:Eskwelabs] and @[570524223003384:69:Python Philippines (PythonPH) Community] for providing the platform to explore and share my advocacies.<br/> <br/> Let us learn from the lessons of history and data to make positive impact to the world.<br/> <br/> #DataScienceForThePeople<br/> <br/> #datascience #machinelearning</div><div>Updated Dec 2, 2019, 5:33 PM</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://forms.gle/nbkEvQg7W5KsmH5s5\">https://forms.gle/nbkEvQg7W5KsmH5s5</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>Hey guys! Andrew Ng in the house yo!<br/> <br/> AI Pilipinas: It's our last meetup for the year and we're making sure it's every AI nerd's dream come true!<br/> <br/> AI Pilipinas is collaborating with deeplearning.ai and DLSU Data Science Institute to bring you the first-ever deeplearning.ai's Pie &amp; AI Meetup in the Philippines!<br/> <br/> Our special meetup will be held at De La Salle University-Manila on Dec 7th, 2019 from 8 AM to 12 PM! We'll have a group discussion on AI ethics topped with a live-streamed from deeplearning.ai's founder Dr. Andrew Ng.<br/> <br/> We only have a limited number of slots for this meetup, to apply, please fill-up the form at: <a href=\"https://forms.gle/nbkEvQg7W5KsmH5s5\">https://forms.gle/nbkEvQg7W5KsmH5s5</a><br/> <br/> Agenda:<br/> <br/> 8:30am - 9:00am: Check-in<br/> <br/> 9:00am - 9:30am: Networking, Opening<br/> <br/> 9:30am - 9:45am: Live-streamed talk from Andrew Ng to kick off the group discussion<br/> <br/> 9:45am - 11:00am: Group discussion<br/> <br/> 10:45am - 11:30am: Vote for the top 3-5 ideas and presentation</div></div>,\n",
           " <div class=\"_2pin\"><div><div><table cellpadding=\"0\" cellspacing=\"0\" class=\"uiGrid _51mz\"><tbody><tr class=\"_51mx\"><td class=\"_51m- pas\"><div><a href=\"photos_and_videos/MobileUploads_fjCbYV2i8A/78531390_186435412486635_3446536638849613824_n_186435409153302.jpg\"><img class=\"_2yuc _3-96\" src=\"photos_and_videos/MobileUploads_fjCbYV2i8A/78531390_186435412486635_3446536638849613824_n_186435409153302.jpg\"/></a><div class=\"_3-95\">This made my day! HAHAHA\n",
           " @[758579664:2048:Sony Valdez]\n",
           " \n",
           " paano kaya yung kulay blue at yellow?</div></div></td></tr></tbody></table></div></div></div>,\n",
           " <div class=\"_2pin\"><div>This made my day! HAHAHA<br/> Sony Valdez<br/> <br/> paano kaya yung kulay blue at yellow?</div><div></div></div>,\n",
           " <div class=\"_2pin\"><div><div><div><div><div><div><a href=\"https://gabrieldaos.github.io/2019-11-23-eskwelabs-capstone/\">https://gabrieldaos.github.io/2019-11-23-eskwelabs-capstone/</a></div></div></div></div></div></div></div>,\n",
           " <div class=\"_2pin\"><div>\"Did you guys know that on the week our President gave his SONA speech is also the same week that the \"Bea, Julia, and Gerald\" issues started to spread on social media? Based on the Twitter webs scraping I did, Filipinos were more concerned about who cheated on whom between these three celebrities than what is going on in our country, and they still are to this date.\"</div><div>Updated Nov 24, 2019, 6:05 PM</div><div></div></div>]"
          ]
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        "x = []\n",
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        "    x.append(i.get_text())"
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           "['',\n",
           " 'Updated May 18, 2020, 10:42 AM',\n",
           " 'https://www.youtube.com/watch?v=TAAaq7M0aXs&t=2s',\n",
           " 'Cats is live till today! 🐈🐯🦁Updated May 17, 2020, 12:01 PM',\n",
           " \"Today I taught a class in Statistical Learning (Singular Value Decomposition and Principal Component Analysis) and had to derive equations by hand.\\n\\nBut I am poor and can't afford an Apple stylus so I used a wet QTip with my finger touching the base for conduction.\\n\\nIt worked! 😂\",\n",
           " \"Today I taught a class in Statistical Learning (Singular Value Decomposition and Principal Component Analysis) and had to derive equations by hand.  But I am poor and can't afford an Apple stylus so I used a wet QTip with my finger touching the base for conduction.  It worked! 😂\",\n",
           " '',\n",
           " 'Me live in class 😂Updated May 11, 2020, 9:30 PM',\n",
           " '',\n",
           " \"Will be teaching a class on Artificial Intelligence using Facebook's Pytorch Saturday, May 16, 7:00 PM to 8:30 PM!  This is free, open for all with love. Sign up in the link below.  Kudos to @[111178867208694:274:Techph.org] for the initiative in making learning accessible.  #AI #machinelearning #datascience #projectmoses #covid19 #techforgood #onlinemeetupUpdated May 11, 2020, 5:36 PM\",\n",
           " '',\n",
           " 'ASLAN! 😭😭😭  You will be missed. My forever rally buddy!  I still remember when I got my first heart break.   You see me staring blankly, sitting miserably at the CS lib steps, gnawing some crumbled pieces of bread I had saved to eat after NatSci class. You came from behind, brushed though my side, purred endearingly, flexing those inhuman big brown eyes.  We feasted together, I was sad no more and we became constants since then. Enjoy your eternal sunbathes in heaven. My heart goes with you my little Garfield.Updated May 8, 2020, 10:01 PM',\n",
           " '',\n",
           " 'For my next electronics project,Updated May 7, 2020, 10:02 PM',\n",
           " 'Done shaving as requested by friends. Happy birthday @[100000661810294:2048:Megumi] and advanced happy birthday @[100000935904186:2048:Allen]!\\n\\nCatch up ulit soon. <3\\n\\n#facecheck\\n#whitelady\\n#carereacts',\n",
           " 'Done shaving as requested by friends. Happy birthday Megumi and advanced happy birthday Allen!  Catch up ulit soon. ♥  #facecheck #whitelady #carereacts',\n",
           " 'Petition for 🤦 reacts para may balance.',\n",
           " '',\n",
           " 'open hardware ❤️Updated Apr 30, 2020, 9:57 PM',\n",
           " 'https://www.youtube.com/watch?v=eXP7ynpk1NY',\n",
           " \"Did you know that the Phantom of the Opera Musical had a sequel called Love Never Dies?  It's streamed free right now in YouTube till 2AM tomorrow.  Goosebumps from beginning to end, watch now!Updated Apr 25, 2020, 12:11 PM\",\n",
           " \"Click for video:What will happen if you suddenly go to a party?\\n\\nTry this game to find out without actually risking it!!!\\n\\nIt's called People of the Pandemic. The creators used agent-based modelling to simulate disease spread. You can choose your location (or type) and the activities that you do per week. You will also be playing with 19 (get it?) random people across the globe. In order to win, you need to cooperate.\\n\\nSee how far you can last:\\nhttps://peopleofthepandemicgame.com/\\n\\nIf you are more interested in their methodology and the math:\\nhttps://observablehq.com/@osserman/people-of-the-pandemic-simulation-methodology\\n\\n#complexityscience\\n#socialdistancing_works\",\n",
           " \"What will happen if you suddenly go to a party?  Try this game to find out without actually risking it!!!  It's called People of the Pandemic. The creators used agent-based modelling to simulate disease spread. You can choose your location (or type) and the activities that you do per week. You will also be playing with 19 (get it?) random people across the globe. In order to win, you need to cooperate.  See how far you can last: https://peopleofthepandemicgame.com/  If you are more interested in their methodology and the math: https://observablehq.com/@osserman/people-of-the-pandemic-simulation-methodology  #complexityscience #socialdistancing_works\",\n",
           " 'Spotifytechph.orghttps://open.spotify.com/show/320tSh56tyb4bGnmkrYGvZ',\n",
           " 'Hey friends!  techph.org featured me on their 3rd episode. Here I share my experiences as an AI practitioner and a data scientist.   Thank you @[100000466542184:2048:Luis Baring] for sharing the same passion in making technology more accessible to the Filipino masses. Subscribe to techph.org’s podcast and listen to expertise-sharing among tech students and professionals.  Listen as well to the first two episodes with @[1465071972:2048:Prince Javier] (Data Science and COVID-19) and @[758579664:2048:Sony Valdez] (On Python).Updated Apr 19, 2020, 6:42 PM',\n",
           " \"Click for video:Is this cheating haha?\\n\\nI recreated a hack for playing ’T-Rex, Run!’ using a light-dependent resistor, servo motor, 10k resistor and Arduino. You can find the code here:\\n\\nhttps://github.com/albertyumol/LDR_dino\\n\\nIf you don’t have a servo motor in hand you can also cheat (automate) the clicking by using PyAutoGUI module in Python.\\n\\nThanks for the idea @[100000935904186:2048:Allen]!\\n\\nTo my friends in quarantine, sending you all virtual hugs! Take things easy, it's ok to be sad and unproductive (we are in the middle of a pandemic anyway). Take care and happy Monday!\\n\\n#HardwareHacking\",\n",
           " \"Is this cheating haha?  I recreated a hack for playing ’T-Rex, Run!’ using a light-dependent resistor, servo motor, 10k resistor and Arduino. You can find the code here:  https://github.com/albertyumol/LDR_dino  If you don’t have a servo motor in hand you can also cheat (automate) the clicking by using PyAutoGUI module in Python.  Thanks for the idea Allen!  To my friends in quarantine, sending you all virtual hugs! Take things easy, it's ok to be sad and unproductive (we are in the middle of a pandemic anyway). Take care and happy Monday!  #HardwareHacking\",\n",
           " '[TODAY IN TECH HISTORY]\\n\\nFifteen years ago (7 April 2005), Linus Torvalds - creator of linux released git.\\n\\nGit is a distributed version-control system for tracking changes in source code during software development.\\n\\nHe released it as an open source product that everyone can use for free. Can’t imagine work without it.\\n\\nHappy Git day and just keep pushing! :)',\n",
           " '[TODAY IN TECH HISTORY]  Fifteen years ago (7 April 2005), Linus Torvalds - creator of linux released git.  Git is a distributed version-control system for tracking changes in source code during software development.  He released it as an open source product that everyone can use for free. Can’t imagine work without it.  Happy Git day and just keep pushing! :)',\n",
           " 'No regrets, highly recommended!',\n",
           " 'No regrets, highly recommended!',\n",
           " '',\n",
           " 'Yu-Gi-Oh + Beyblade + Bakugan + Goo with earlobe + tsinelas = childhoodUpdated Apr 7, 2020, 7:22 PM',\n",
           " 'If you can, look at the moon. 🌕',\n",
           " '',\n",
           " '❤️Updated Apr 2, 2020, 6:13 PM',\n",
           " 'https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/',\n",
           " 'Mozilla is announcing today the creation of a COVID-19 Solutions Fund as part of the Mozilla Open Source Support Program (MOSS). Through this fund, we will provide awards of up to $50,000 each to open source technology projects which are responding to the COVID-19 pandemic in some way.  @[262134952380:274:Mozilla], @[216395756275:274:Mozilla Philippines Community]  https://blog.mozilla.org/blog/2020/03/31/moss-launches-covid-19-solutions-fund/Updated Apr 1, 2020, 7:49 AM',\n",
           " '',\n",
           " '😰Updated Mar 30, 2020, 10:11 PM',\n",
           " '',\n",
           " 'Updated Mar 30, 2020, 9:11 PM',\n",
           " '',\n",
           " '😅Updated Mar 29, 2020, 10:57 AM',\n",
           " '',\n",
           " 'newton the bestUpdated Mar 29, 2020, 10:55 AM',\n",
           " 'Starting my Earth Hour/s early!\\n\\nFor those who can, turn off your lights for our planet. One hour (or more) can make a difference. <3\\n\\nOfficial Time: 8:30 - 9:30 PM Local Time',\n",
           " 'Starting my Earth Hour/s early!  For those who can, turn off your lights for our planet. One hour (or more) can make a difference. ♥  Official Time: 8:30 - 9:30 PM Local Time',\n",
           " '',\n",
           " 'Nani?Updated Mar 26, 2020, 9:48 PM',\n",
           " \"Good morning to my programmer friends!\\n\\nCode time. 😂\\nDon't let corona 'bug' you.\",\n",
           " \"Good morning to my programmer friends!  Code time. 😂 Don't let corona 'bug' you.\",\n",
           " '',\n",
           " 'nasa bahay mga kapitbahay!Updated Mar 24, 2020, 12:28 PM',\n",
           " 'Click for video:Good afternoon mga ka-quarantine!\\nMaliban sa mga politicians na pa-VIP na pa-test nang pa-test pa rin kahit wala namang symptoms, pati narin sa mga bumoto pabor sa HB 6616.\\n\\nDahil mga ahas po kayo, eto ang ‘8-bit’ snake game na ginawa ko sa Arduino.\\nMa-game over din kayo.\\n\\nIf you want to replicate the game, kailangan mo ng Keyes Joystick at 8x8 LED matrix. Ito ang code sa GitHub:\\nhttps://github.com/albertyumol/snake_game_arduino\\n\\n#masstestingnow\\n#HappyArduinoMonth',\n",
           " 'Good afternoon mga ka-quarantine! Maliban sa mga politicians na pa-VIP na pa-test nang pa-test pa rin kahit wala namang symptoms, pati narin sa mga bumoto pabor sa HB 6616.  Dahil mga ahas po kayo, eto ang ‘8-bit’ snake game na ginawa ko sa Arduino. Ma-game over din kayo.  If you want to replicate the game, kailangan mo ng Keyes Joystick at 8x8 LED matrix. Ito ang code sa GitHub: https://github.com/albertyumol/snake_game_arduino  #masstestingnow #HappyArduinoMonth',\n",
           " '',\n",
           " 'Updated Mar 23, 2020, 5:20 PM',\n",
           " '',\n",
           " 'International Solidarity ❤️Updated Mar 23, 2020, 2:29 PM',\n",
           " 'Hello mare!',\n",
           " '',\n",
           " 'ok next project. but will play Lady Gaga songsUpdated Mar 22, 2020, 3:27 PM',\n",
           " 'the audacity! di ka na nahiya! 😠😡😡',\n",
           " '',\n",
           " 'I have better teeth though hahaUpdated Mar 22, 2020, 11:10 AM',\n",
           " 'http://bit.ly/dataethicsframework',\n",
           " 'To a more ethical and human centered tech, share your ideas! ❤️Updated Mar 20, 2020, 10:06 PM',\n",
           " '',\n",
           " '😢 ✊Updated Mar 20, 2020, 1:29 PM',\n",
           " 'http://127.0.0.1/',\n",
           " \"Good morning mga ka-quarantine! Maliban sa mga umaaway sa bi-Vico.  Friendly techy reminder to, (1) If you can, stay at 127.0.0.1 (2) Don't be 0.0.0.0 (3) And if you go out, wear a 255.255.255.0  Avoid doing handshakes, do the shaka instead. 😄 Like shaka ka Mocha Uson.Updated Mar 20, 2020, 2:31 PM\",\n",
           " '',\n",
           " 'Keep moving forward! ❤️Updated Mar 19, 2020, 2:23 PM',\n",
           " '',\n",
           " 'Learned something new virtually about time series and model deployment with AWS. ❤️Updated Mar 19, 2020, 1:05 PM',\n",
           " '',\n",
           " 'Updated Mar 19, 2020, 1:01 PM',\n",
           " '',\n",
           " 'Updated Mar 19, 2020, 7:22 AM',\n",
           " '',\n",
           " 'Updated Mar 18, 2020, 7:16 PM',\n",
           " 'https://docs.google.com/forms/d/e/1FAIpQLSczuLnRK3bYRCv-_w7zjJy4Ov_a2-e0abupRBa-8UNeSGjxKg/viewform?fbclid=IwAR3DRcdrAWuso96zOSmY4eLxuHnD09cjomTUuhrPJROJkqrDM_iqDzJ7SUQ',\n",
           " 'Updated Mar 18, 2020, 6:25 PM',\n",
           " 'https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and',\n",
           " '[Day 3 of Work Quarantine] Hey guys!  In 2016, the UN declared that internet is a human right. We are very fortunate that we are living in this time of technology and digital connectedness. Although we try our best to keep away from each other physically, we are bonded by the internet. Musicians are streaming free concerts, video calls keep us working, and through different platforms we extend help to each other.  But the internet is also a dialectic tool. It can be used for good or bad and it has some side effects. The surge and influx of information online can cause a lot of anxiety.  It’s a good thing that our friends from @[262134952380:274:Mozilla] curated this amazing resources to keep us informed in this stressful time.  Happy reading:  * What To Do If You Are Sick (US Centers for Disease Control & Prevention)  [https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html]  * Tips for Staying at Home if You Are Sick (UK National Health Service)  [https://www.nhs.uk/conditions/coronavirus-covid-19/self-isolation-advice/]  * 7 Ways to Avoid Misinformation During the Coronavirus Pandemic (Politifact) [https://www.politifact.com/article/2020/mar/12/7-ways-avoid-misinformation-during-coronavirus-pan/]  * World Health Organization Coronavirus Mythbusters (World Health Organization)  [https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters]  * The Best and Worst Coronavirus Dashboards (MIT Technology Review) [https://www.technologyreview.com/s/615330/best-worst-coronavirus-dashboards/]  * How Wikipedia Prevents the Spread of Coronavirus Misinformation (Wired) [https://www.wired.com/story/how-wikipedia-prevents-spread-coronavirus-misinformation/]  * List of Free Activities for Kids During School Closings (Kids Activities Blog)  [https://kidsactivitiesblog.com/135609/list-of-education-companies-offering-free-subscriptions/]  * 8 Tips to Make Working from Home Work for You (National Public Radio)  [https://www.npr.org/2020/03/15/815549926/8-tips-to-make-working-from-home-work-for-you]  * COVID-19 could kill the for-profit science publishing model. That would be a good thing. (Los Angeles Times)  [https://www.latimes.com/business/story/2020-03-03/covid-19-open-science]  * Coronavirus outbreak changes how scientists communicate (American Association for the Advancement of Science)  [https://www.sciencemag.org/news/2020/02/completely-new-culture-doing-research-coronavirus-outbreak-changes-how-scientists]  * How to Manage Anxiety and Isolation During Quarantine (Anxiety and Depression Association of America)  [https://adaa.org/learn-from-us/from-the-experts/blog-posts/consumer/covid-19-lockdown-guide-how-manage-anxiety-and]  * Coronavirus Kindness: The people offering help as the virus spreads (BBC)  [https://www.bbc.com/news/uk-51908023]  Keep in mind that an open and healthy internet is one of the best tool that we have to make it through these times. Spread positivity not the virus! 🦠   P.S. I hope that the government is convinced that internet is becoming more and more essential and should adopt measures to make it more accessible and eventually free! (Of course after they prioritize providing basic social services first and not relying to private corps).Updated Mar 18, 2020, 3:10 PM',\n",
           " 'https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8',\n",
           " 'To sum it up — #vizresponsibly; which may mean not publishing your visualizations in the public domain at all  (1) Do more to understand the numbers than just downloading and diving right into a dataset. (2) Case numbers are the most readily available, thorough, routinely updated data sources, but that doesn’t make them simple to visualize. (3) Aggregations and calculations that can be done with the case data are not necessarily what should be done with the case data. (4) Be cautious when making generalized predictions or comparisons based on regionally specific data. (5) Visualizations should inform and be honest about what isn’t represented. (6) Epidemiologists and public health agencies create complex models to understand how the disease may progress. (7) Data scientists and statisticians have also been publishing their own models and related conclusions about disease projections. (8) Make thoughtful design decisions. (9) Consider the human side of what you create. (10) Consider how visualizations can impact (and encourage) social responsibility as we see COVID-19 in our respective communities.  https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8Updated Mar 17, 2020, 3:15 PM',\n",
           " 'https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge',\n",
           " 'AI expert friends!Updated Mar 17, 2020, 9:10 AM',\n",
           " '',\n",
           " 'Updated Mar 17, 2020, 7:57 AM',\n",
           " \"Click for video:[Day 1 of Work Quarantine]\\n\\nI turned to an extreme germophobe the past days to the point that I decided to build an automated alcohol dispenser to avoid touching it.\\n\\nIf you want to replicate it, you need:\\n(1) My code on Github [https://github.com/albertyumol/automated_alcohol_dispenser]\\n(2) Arduino Uno/ Arduino Nano\\n(3) 2 Servo Motors\\n(4) An alcohol with pump type container\\n(5) Breadboard (optional)\\n(6) Ultrasonic Sensor\\n(7) Power Supply (a.k.a. 5V power bank)\\n(8) Some wires\\n\\nI will also record my 'alcohol intake' for me to analyze if I am oversanitizing my hands and killing my entire microbiome.\\n\\nOn a more serious note, I really find it hard to get my self motivated to work at home. I can no longer visit Ate Karinderya’s cheap meals and Manong Taho’s soy drink and have those small conversations about simple things and life. I am lucky enough that I can Work From Home (WFH) but I can't brush off the idea that majority of Filipinos are having a hard time to make ends meet (and stay virus-free) in these trying times.\\n\\nNot to downplay my personal struggles, but a  lot of times I am too absorbed with petty things like the WiFi is slow, why can’t the DDS stop smart shaming so we can start discourse on a higher level, why are the military personnel at the checkpoints brandishing guns instead of temperature monitoring sensors and test kits (or even just follow PPE)!\\n\\nFor me to move forward, the best way is to compartmentalize, prioritize my struggles and focus on the actionable!\\n\\nTo all my bright friends, there are a lot of things that we can do. I am already a part of an initiative to build an online self triage app and mask supply/demand mapping system for our health workers.\\n\\nBrowse online on any volunteer efforts to help out with the corona crisis or start your own initiative! Let's not wait for heroes. We are all the heroes that we have and need. Remember to be inspired and use your energy for the better!\\n\\nThanks for the alcohol dispenser idea, @[100000222310219:2048:Rheurhon]!\",\n",
           " \"[Day 1 of Work Quarantine]  I turned to an extreme germophobe the past days to the point that I decided to build an automated alcohol dispenser to avoid touching it.  If you want to replicate it, you need: (1) My code on Github [https://github.com/albertyumol/automated_alcohol_dispenser] (2) Arduino Uno/ Arduino Nano (3) 2 Servo Motors (4) An alcohol with pump type container (5) Breadboard (optional) (6) Ultrasonic Sensor (7) Power Supply (a.k.a. 5V power bank) (8) Some wires  I will also record my 'alcohol intake' for me to analyze if I am oversanitizing my hands and killing my entire microbiome.  On a more serious note, I really find it hard to get my self motivated to work at home. I can no longer visit Ate Karinderya’s cheap meals and Manong Taho’s soy drink and have those small conversations about simple things and life. I am lucky enough that I can Work From Home (WFH) but I can't brush off the idea that majority of Filipinos are having a hard time to make ends meet (and stay virus-free) in these trying times.  Not to downplay my personal struggles, but a  lot of times I am too absorbed with petty things like the WiFi is slow, why can’t the DDS stop smart shaming so we can start discourse on a higher level, why are the military personnel at the checkpoints brandishing guns instead of temperature monitoring sensors and test kits (or even just follow PPE)!  For me to move forward, the best way is to compartmentalize, prioritize my struggles and focus on the actionable!  To all my bright friends, there are a lot of things that we can do. I am already a part of an initiative to build an online self triage app and mask supply/demand mapping system for our health workers.  Browse online on any volunteer efforts to help out with the corona crisis or start your own initiative! Let's not wait for heroes. We are all the heroes that we have and need. Remember to be inspired and use your energy for the better!  Thanks for the alcohol dispenser idea, Rheurhon!\",\n",
           " 'Click for video:Configured my plant sensor to shout love pi!!!\\n\\nHappy pi day everyone.\\n\\nHope you are all safe wherever you are. ❤️\\n\\nP.S. Thanks to Duterte, nakita ko yung mga barya sa ilalim ng paso.',\n",
           " 'Configured my plant sensor to shout love pi!!!  Happy pi day everyone.  Hope you are all safe wherever you are. ❤️  P.S. Thanks to Duterte, nakita ko yung mga barya sa ilalim ng paso.',\n",
           " '',\n",
           " 'bless these kids 😅Updated Mar 13, 2020, 12:11 AM',\n",
           " '',\n",
           " 'Updated Mar 10, 2020, 7:48 PM',\n",
           " 'Click for video:Happy birthday @[542408854:2048:Reina]!',\n",
           " 'Happy birthday Reina!',\n",
           " '',\n",
           " '❤️❤️❤️Updated Mar 3, 2020, 3:04 PM',\n",
           " '',\n",
           " \"Happy women's month!Updated Mar 3, 2020, 11:06 AM\",\n",
           " \"Click for video:March is Arduino month!\\n\\nThis month I will be posting open hardware related content every week. I noticed that my 'maker room' has been dormant the past year since I got too absorbed with this data science thingy. \\n\\nIn the process, I am also hoping to avoid sensors, microcontrollers, and microcomputers being rusted by taking them out of their dusty drawers. Eventually I plan to donate my extra stuff (thanks to Marie Kondo!) to out of school kids who want to learn robotics.\\n\\nIt is so refreshing doing code and appreciate it manifest physically. Here is an ultrasonic sensor coupled with some mood LEDs to brighten up your day.\\n\\nAs the sensor sense an object nearing it, it signals the LEDs to light up. More LEDs will glow in sequence as the object gets closer. This type of technology has been the backbone of familiar systems we encounter everyday. Recall your sensor enabled mall doors and auto-lighting fixtures. I think IoT (Internet of Things) is the next big thing after data analytics.\\n\\nReminding all my friends that open source is love and is the future ❤️.\",\n",
           " \"March is Arduino month!  This month I will be posting open hardware related content every week. I noticed that my 'maker room' has been dormant the past year since I got too absorbed with this data science thingy.   In the process, I am also hoping to avoid sensors, microcontrollers, and microcomputers being rusted by taking them out of their dusty drawers. Eventually I plan to donate my extra stuff (thanks to Marie Kondo!) to out of school kids who want to learn robotics.  It is so refreshing doing code and appreciate it manifest physically. Here is an ultrasonic sensor coupled with some mood LEDs to brighten up your day.  As the sensor sense an object nearing it, it signals the LEDs to light up. More LEDs will glow in sequence as the object gets closer. This type of technology has been the backbone of familiar systems we encounter everyday. Recall your sensor enabled mall doors and auto-lighting fixtures. I think IoT (Internet of Things) is the next big thing after data analytics.  Reminding all my friends that open source is love and is the future ❤️.\",\n",
           " 'Some people in my age group are already settling down, having their own families and children. Here I am on a Saturday afternoon raising and feeding my Raspberry Pi 4 quadruplets with code, training them to cluster (beowulf!), teaching them how to feel (with sensors) and how to respond (with actuators). I hope that they will grow with love and kindness in their hearts and will do good for others.\\n\\n#InternetOfTito\\n#BotParenting\\n#BitsOfLove',\n",
           " 'Some people in my age group are already settling down, having their own families and children. Here I am on a Saturday afternoon raising and feeding my Raspberry Pi 4 quadruplets with code, training them to cluster (beowulf!), teaching them how to feel (with sensors) and how to respond (with actuators). I hope that they will grow with love and kindness in their hearts and will do good for others.  #InternetOfTito #BotParenting #BitsOfLove',\n",
           " 'https://thepowerofsilence.co/just-because-i-carry-my-load-well-doesnt-mean-it-is-not-heavy/',\n",
           " 'Updated Feb 29, 2020, 9:36 AM',\n",
           " '',\n",
           " \"Thanks to @[251859122016774:274:R Users Group - Philippines] for giving us a platform and an opportunity to share our advocacy on social good with data. We were able to gather and crowd source solutions to improve our mini-project on mapping nCov cases in the Philippines.  We learned new things as well from @[553459093:2048:Ver Anthony] 's (VA's) GIS 101. Now I understand how to make better maps with the correct projection system (e.g. WGS84).  Looking forward to future meet-ups with R community. Data is getting more interesting day by day, so much more when we involve people, make them aware of the possibilities with it, and continue learning collectively.Updated Feb 26, 2020, 9:16 PM\",\n",
           " '',\n",
           " '✊🧡Updated Feb 22, 2020, 1:31 AM',\n",
           " 'https://www.meetup.com/R-User-Group-Philippines/events/npdrgpybcdbzb/?fbclid=IwAR09hPgz_U4e4wntRardIHxjJivyFYwOYJzP47dGqgQo-8D7cis3jTBFUoU',\n",
           " 'Hey friends! If you want to catch up and talk data, please join us tonight at R Users Group - Philippines Meetup, 6PM at Sykes Glorietta.  Me and a teammate will share our initiative in mapping nCov status in Philippines using R shiny and Natural Language Processing of news articles.  See you!Updated Feb 19, 2020, 10:28 AM',\n",
           " '',\n",
           " '',\n",
           " 'Updated Feb 17, 2020, 4:08 AM',\n",
           " '',\n",
           " 'Brought my teammates this time teaching out-of-school youth children hosted by Action for the Care and Development of the Poor in the Philippines in Paranaque. We partnered with Meet IT foundation from Poland teaching topics on Algorithms and Robotics.  Aleksander from MeetIT was amazed not only in their potential and organic ability but also in their tenacity to keep solving our problem set.  I hope more of us will recognize and support the talent of our Filipino youth. Let\\'s nourish our human resources by enabling and empowering them to learn.  If you want to join us next time we conduct volunteer teaching please send me a DM.  Short term goal for me is to connect these kids with expert teachers in Poland (some are business partners) to support them for future studies. Long term would be convincing our own people (hopefully the government) to invest in the education of the marginalized.  My heart melted as we were leaving, smiles on their faces and some shouting, \"Balik po kayo, gusto naming matuto!\".  Angelie Maglasang Jeriesa Osorio Johnny Ong Gabriel Daos Mateusz Maciej Masłowski Marek Bardoński',\n",
           " 'Forgot to say thanks to the person who left this at my desk. 😂\\n\\nHappy Valentines everyone!',\n",
           " 'Forgot to say thanks to the person who left this at my desk. 😂  Happy Valentines everyone!',\n",
           " 'So proud of our first @[2564617023765282:274:Eskwelabs] Business Intelligence SkillCamp graduates. \\n\\nI hope that you will find value to what we shared the past two weeks. Use your new SQL, PowerBI, and wrangling hacks to make sense of data no matter how big, real, and complex it is.\\n\\nRemember that learning is continuous, motivational, and curious. Spread your data-driven mindset!Place: Asian Institute of Management (14.552194170171, 121.01866041352)Address: 123 Paseo de Roxas, 1229 Makati',\n",
           " 'So proud of our first Eskwelabs Business Intelligence SkillCamp graduates.   I hope that you will find value to what we shared the past two weeks. Use your new SQL, PowerBI, and wrangling hacks to make sense of data no matter how big, real, and complex it is.  Remember that learning is continuous, motivational, and curious. Spread your data-driven mindset!',\n",
           " '',\n",
           " 'I spent today teaching robotics (with Lego WeDo 2.0) to out-of-school-youth children in Tondo Manila.   Meet EJ (left) and Johnrey (right).    Their drive for learning is so inspiring. I am surprised at how easy they were able to comprehend programming concepts (loops and conditionals) and execute hardware tinkering in a whip.  I really hope to see more opportunities for these kids. Who knows, they might be our future innovators and tech disruptors.   The future looks bright if education and technology is accessible for all regardless of socio-economic background, race, and gender.  Good job for enabling Meet IT Mateusz Maciej Masłowski Marek Bardoński.',\n",
           " 'The past two months I’ve been working with young bright data practitioners in an effort to use data science and analytics in the Philippines for social good and impact. \\n\\nOne of the projects that we did was an entry for the Open Bangsamoro Data Challenge which was held yesterday at the Development Academy of the Philippines. The objective of the competition was to use data by providing insights, solutions, or strategies that will be of help to the development of the Bangsamoro Autonomous Region. We were excited that our government is starting to make efforts in opening data for crowd sourcing solutions. \\n\\nWe tackled the issue of education since the region historically has the highest number of drop out rates and lowest rate of student attendance in the country. We used a simple random forest model (prototype) for feature importance and found out that birth certificates, environment for child labor, and poverty were the top indicators. We also made an interactive bivariate choropleth map that may help officials identify target areas for education development. Knowing these indicators can help decision makers objectively weave laws and projects for their constituents. \\n\\nEducation is a complex system to solve and needs collective wisdom not only of government officials, technologists, but also and most importantly the communities as well. \\n\\nI hope that open data will be the norm in the Philippines. Open data done correctly can lead to transparency, better governance, and multitude of innovations. I hope as well that more and more technologists, engineers and scientists will be inspired to create meaningful solutions for Filipinos.\\n\\n#ServeThePeople #ScienceForThePeople #DataScienceForSocialGood\\n\\nP.S. Thanks to @[109825717117038:274:Data Ethics PH], @[123046014388681:274:PwC Philippines] and  @[2564617023765282:274:Eskwelabs] for the avenue and support.\\n\\n@[100000038546076:2048:Johnny Ong] @[100000018021550:2048:Jeriesa Osorio] @[1252050759:2048:Gabriel Daos] @[100000098606576:2048:Angelie Maglasang] @[100008989593258:2048:Elissa Cabal] @[1291992600:2048:Lex Tanganco] @[100000443449191:2048:Henry Laynesa Jr.] @[1789226130:2048:Ron Medina]',\n",
           " 'The past two months I’ve been working with young bright data practitioners in an effort to use data science and analytics in the Philippines for social good and impact.   One of the projects that we did was an entry for the Open Bangsamoro Data Challenge which was held yesterday at the Development Academy of the Philippines. The objective of the competition was to use data by providing insights, solutions, or strategies that will be of help to the development of the Bangsamoro Autonomous Region. We were excited that our government is starting to make efforts in opening data for crowd sourcing solutions.   We tackled the issue of education since the region historically has the highest number of drop out rates and lowest rate of student attendance in the country. We used a simple random forest model (prototype) for feature importance and found out that birth certificates, environment for child labor, and poverty were the top indicators. We also made an interactive bivariate choropleth map that may help officials identify target areas for education development. Knowing these indicators can help decision makers objectively weave laws and projects for their constituents.   Education is a complex system to solve and needs collective wisdom not only of government officials, technologists, but also and most importantly the communities as well.   I hope that open data will be the norm in the Philippines. Open data done correctly can lead to transparency, better governance, and multitude of innovations. I hope as well that more and more technologists, engineers and scientists will be inspired to create meaningful solutions for Filipinos.  #ServeThePeople #ScienceForThePeople #DataScienceForSocialGood  P.S. Thanks to Data Ethics PH, PwC Philippines and  Eskwelabs for the avenue and support.  Johnny Ong Jeriesa Osorio Gabriel Daos Angelie Maglasang Elissa Cabal Lex Tanganco Henry Laynesa Jr. Ron Medina',\n",
           " 'We created an interactive dashboard to track not only confirmed but also suspected cases of nCov in PH using news data. Check out and be updated!\\n\\n#DataScienceForSocialGood\\n\\n@[1465071972:2048:Prince Javier] @[100000098606576:2048:Angelie Maglasang] @[1252050759:2048:Gabriel Daos]\\n\\nhttps://ncov-tracker.herokuapp.com/\\n\\nNote: This is still under development, still polishing code and doing QA. :)',\n",
           " 'We created an interactive dashboard to track not only confirmed but also suspected cases of nCov in PH using news data. Check out and be updated!  #DataScienceForSocialGood  Prince Javier Angelie Maglasang Gabriel Daos  https://ncov-tracker.herokuapp.com/  Note: This is still under development, still polishing code and doing QA. :)',\n",
           " 'https://thecorrespondent.com/245/no-matter-what-you-think-of-protesters-you-have-them-to-thank-for-societys-progress/32432842750-005740a8',\n",
           " 'Updated Feb 9, 2020, 11:31 PM',\n",
           " '',\n",
           " 'Open data for transparency! 😍Updated Feb 6, 2020, 5:01 PM',\n",
           " '',\n",
           " 'Updated Feb 6, 2020, 12:08 AM',\n",
           " '',\n",
           " \"Had fun doing data in python with @[2107113999507766:274:Python Philippines]'s Kaizend and @[542408854:2048:Reina]!  Would recommend 100% @[1945562788990976:274:DIY Data Workshops] for those who want to get their hands dirty with data by evaluating trends and drawing conclusions from interesting datasets.  If you have more time, you can also try our ten week-long Data Science Bootcamp at @[2564617023765282:274:Eskwelabs]. I will be handling some of the classes in Machine Learning and Deep Learning.  Classes will start by March. Sign up here: https://www.eskwelabs.com/bootcamp-ds.htmlUpdated Jan 19, 2020, 9:27 PM\",\n",
           " '',\n",
           " 'With all the Lorenz, Rossler and logistic maps!Updated Jan 11, 2020, 2:50 PM',\n",
           " '',\n",
           " '@[100033605328224:2048:Bash]Updated Dec 5, 2019, 8:40 PM',\n",
           " '',\n",
           " 'Local News: Japanese research colleagues unfazed by Philippine traffic, still on-time for 9AM conference  #KeepUpFilipinoFriends 😅',\n",
           " 'https://albertyumol.github.io/Predicting-Rallies/#',\n",
           " 'I believe that rallies are relevant in transforming society. These events demonstrate the capacity of people and their collective action to influence political decisions and public policies. Throughout history, rallies urged pro-people labor laws, voting rights for women, and free education in state universities and colleges among others.  In this blog post, I developed a model to predict future events of big rallies in the Philippines by correlating it to online dissent and mentions in news and social media using a coupled Burstiness and Hidden Markov Model with the GDELT dataset.  Lesson:  Data science is a dialectic tool. It can be used for good or evil but sometimes these two are hard to discern when we are ignorant. Having knowledge of when rallies occur from online-verse gives activists hindsight on how to organize and mobilize better but the same knowledge can also be used by reactionary state forces to suppress social movements in favor of the status quo.  Ultimately, it is up to you to decide whether talking about the issues of farmers being killed, SEA Games funds being corrupted, or the Philippines being the No. 1 rice importer in the world is relevant to talk about and rally for.  I wish to extended my sincerest gratitude to @[2564617023765282:274:Eskwelabs] and @[570524223003384:69:Python Philippines (PythonPH) Community] for providing the platform to explore and share my advocacies.  Let us learn from the lessons of history and data to make positive impact to the world.  #DataScienceForThePeople  #datascience #machinelearningUpdated Dec 2, 2019, 5:33 PM',\n",
           " 'https://forms.gle/nbkEvQg7W5KsmH5s5',\n",
           " \"Hey guys! Andrew Ng in the house yo!  AI Pilipinas: It's our last meetup for the year and we're making sure it's every AI nerd's dream come true!  AI Pilipinas is collaborating with deeplearning.ai and DLSU Data Science Institute to bring you the first-ever deeplearning.ai's Pie & AI Meetup in the Philippines!  Our special meetup will be held at De La Salle University-Manila on Dec 7th, 2019 from 8 AM to 12 PM! We'll have a group discussion on AI ethics topped with a live-streamed from deeplearning.ai's founder Dr. Andrew Ng.  We only have a limited number of slots for this meetup, to apply, please fill-up the form at: https://forms.gle/nbkEvQg7W5KsmH5s5  Agenda:  8:30am - 9:00am: Check-in  9:00am - 9:30am: Networking, Opening  9:30am - 9:45am: Live-streamed talk from Andrew Ng to kick off the group discussion  9:45am - 11:00am: Group discussion  10:45am - 11:30am: Vote for the top 3-5 ideas and presentation\",\n",
           " 'This made my day! HAHAHA\\n@[758579664:2048:Sony Valdez]\\n\\npaano kaya yung kulay blue at yellow?',\n",
           " 'This made my day! HAHAHA Sony Valdez  paano kaya yung kulay blue at yellow?',\n",
           " 'https://gabrieldaos.github.io/2019-11-23-eskwelabs-capstone/',\n",
           " '\"Did you guys know that on the week our President gave his SONA speech is also the same week that the \"Bea, Julia, and Gerald\" issues started to spread on social media? Based on the Twitter webs scraping I did, Filipinos were more concerned about who cheated on whom between these three celebrities than what is going on in our country, and they still are to this date.\"Updated Nov 24, 2019, 6:05 PM']"
          ]
         },
         "execution_count": 6,
         "metadata": {},
         "output_type": "execute_result"
        }
       ],
       "source": [
        "x"
       ]
      },
      {
       "cell_type": "code",
       "execution_count": null,
       "metadata": {},
       "outputs": [],
       "source": []
      }
     ],
     "metadata": {
      "kernelspec": {
       "display_name": "Python 3",
       "language": "python",
       "name": "python3"
      },
      "language_info": {
       "codemirror_mode": {
        "name": "ipython",
        "version": 3
       },
       "file_extension": ".py",
       "mimetype": "text/x-python",
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
       "version": "3.7.6"
      }
     },
     "nbformat": 4,
     "nbformat_minor": 4
    }
    for post in contents:
        x.append(post.get_text())

    After running all the code above, we will now translate it into WordCloud. A WordCloud is basically a bunch of words clustered together. (Hey, remember clustering?)

     "cells": [
      {
       "cell_type": "code",
       "execution_count": 7,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T00:09:49.930900Z",
         "start_time": "2020-05-20T00:09:49.913957Z"
        }
       },
       "outputs": [],
       "source": [
        "y = ' '.join(x)"
       ]
      },
      {
       "cell_type": "code",
       "execution_count": 9,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T00:29:53.666443Z",
         "start_time": "2020-05-20T00:29:49.488963Z"
        }
       },
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": [
           "<Figure size 1440x576 with 1 Axes>"
          ]
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ],
       "source": [
        "import matplotlib.pyplot as plt\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "wordcloud = WordCloud(background_color=\"white\",max_words=2000,width = 1024,height = 720)\n",
        "wordcloud.generate(y)\n",
        "plt.figure(figsize=(20, 8))\n",
        "plt.title('Facebook WordCloud')\n",
        "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
       ]
      }
     ],
     "metadata": {
      "kernelspec": {
       "display_name": "Python 3",
       "language": "python",
       "name": "python3"
      },
      "language_info": {
       "codemirror_mode": {
        "name": "ipython",
        "version": 3
       },
       "file_extension": ".py",
       "mimetype": "text/x-python",
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
       "version": "3.7.6"
      }
     },
     "nbformat": 4,
     "nbformat_minor": 4
    }

    Step 4: Removing stop words

    Hold on a minute! If you noticed, there are a lot of words in the photo that are not really relevant such as https, PM, etc.

    Technically, these words that aren’t really relevant are what we call stop words. These are normally words that are very commonly used that add no meaning to our analysis, and so we remove them.

     "cells": [
      {
       "cell_type": "code",
       "execution_count": 10,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T01:03:43.757307Z",
         "start_time": "2020-05-20T01:03:43.711887Z"
        }
       },
       "outputs": [],
       "source": [
        "stopwords = ['https','PM','will, Updated', 'AM']\n",
        "querywords = y.split()\n",
        "\n",
        "resultwords  = [word for word in querywords if word.lower() not in stopwords]\n",
        "result = ' '.join(resultwords)"
       ]
      },
      {
       "cell_type": "code",
       "execution_count": 11,
       "metadata": {
        "ExecuteTime": {
         "end_time": "2020-05-20T01:03:53.106500Z",
         "start_time": "2020-05-20T01:03:53.100694Z"
        }
       },
       "outputs": [],
       "source": [
        "www = result.replace(\"https://www.\",\"\")\n",
        "www = www.replace(\"https://\",\"\")\n",
        "www = www.replace(\"Will\",\"\")\n",
        "www = www.replace(\"Updated Mar\",\"\")\n",
        "www = www.replace(\"PM\",\"\")\n",
        "www = www.replace(\"will\",\"\")"
       ]
      }
     ],
     "metadata": {
      "kernelspec": {
       "display_name": "Python 3",
       "language": "python",
       "name": "python3"
      },
      "language_info": {
       "codemirror_mode": {
        "name": "ipython",
        "version": 3
       },
       "file_extension": ".py",
       "mimetype": "text/x-python",
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
       "version": "3.7.6"
      }
     },
     "nbformat": 4,
     "nbformat_minor": 4
    }

    Data for good

    Here's our final output! If that’s not amazing, then I don’t know what is!

    So just to summarize what we did:

    • We did a quick demo on how to download your own Facebook data
    • Use BeautifulSoup to extract it
    • Create a WordCloud out of it
    We also learned about web scraping on its own, where it is being applied to, and why it is important as a skill to have as a data scientist. We also briefly talked about how recruiters utilize social media scraping to measure the suitability of a candidate for a role so that we can get an idea on what they are able to learn about our online presence.

    Now even though data scraping might seem like a life-changing way of assessing a candidate’s fit towards a role, there are a lot of regulations and ethical rules that we must follow when it comes to scraping data. Web scraping is indeed a helpful tool for us to get information we need about something or someone, but we should always use this with caution.

    There are a lot of concepts that you still have yet to learn when it comes to web scraping, and its ethical concerns are just a part of it. If you’re interested in learning more about data scraping and data ethics, did you know that in the 12-week Data Science Fellowship, you’ll be applying this tool across different industries?

    Perhaps you’re interested in scraping twitter posts and analyzing them if they are positive or negative sentiments? Or maybe you’re interested in scraping ecommerce websites and building your own clothing brand recommender engine?

    No matter what industry you are passionate about, there is an application of scraping that you can utilize in the bootcamp.

    Hopefully, I was able to help you gain an understanding of what, why, and how data scraping works, and to spark an interest in you to build it as a skill.

    Never stop learning!

    From the notebook of Basty Vergara | Connect with Basty via LinkedIn and Notion

    Every “Practice with Eskwelabs” blog post features a friendly data scientist BFF who will give you a step by step tutorial and introduction to the concepts being used.

    RECOMMENDED NEXT STEPS

    Updated for Data Science Fellowship Cohort 10 | Classes for Cohort 10 start on September 12, 2022.

    • If you’re ready to dive in
      • Enroll in the Data Science Fellowship via the sign up link here and take the assessment exam.
        • Note: The assessment exam is a key part of your application. The deadline for the assessment is on August 21, 2022.
    • If you want to know more

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