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  • Scraping Reddit data - Towards Data Science
    How to scrape data from Reddit using the Python Reddit API Wrapper(PRAW)
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  • Gilbert Tanner, Author at Towards Data Science | Page 2 of 2
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  • How to Clean Text Like a Boss for NLP in Python - Towards Data Science
    Cleaning Text One of the most common tasks in Natural Language Processing (NLP) is to clean text data In order to maximize your results, it’s important to distill your text to the most important root words in the corpus and clean out unwanted noise This post will show how I typically accomplish this The following are general steps in text preprocessing: Tokenization: Tokenization breaks
  • How to Extract and Convert Tables From PDF Files to Pandas Dataframe?
    Final Thoughts In this article, we saw how easy it is to extract tables from pdf files and load them as pandas data frames using the Tabula library The library does a great job at extracting the tables, but we must always visually verify the tables for inconsistency Most of the time any inconsistency is easily fixable
  • Get Your Own Data – Building a Scalable Web-Scraper with AWS
    How I built a Scalable Web-Scraper with AWS How I imagine my AWS console… (Photo by Patryk Grądys on Unsplash) Early last year, I found a crazy deal on a used car from Craigslist After double checking that it was not a scam (it was not) I naturally went straight to Kelly Blue Book to get the "real value" of my new car – but this got me thinking: How does Kelly Blue Book calculate
  • Data Science in 2026: Is It Still Worth It?
    Is the Data Science job family broader than ever? Source: pixabay (Kanenori) One of the biggest mistakes of junior Data Scientists is thinking Data Science is one single job In 2026, Data Science is a large family of roles Before writing a single line of code, you need to understand where you fit





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