Category: Python

NPR Sunday Puzzle Solving, And Other Baby Name Questions

If you have a long drive and no bluetooth or aux cord to listen to podcasts, NPR is easily the best alternative. Truck drivers agree with this statement no matter their overall views. For me, this was the case when driving […]

General Tips for Web Scraping with Python

The great majority of the projects about machine learning or data analysis I write about here on Bigish-Data have an initial step of scraping data from websites. And since I get a bunch of contact emails asking me to give them either […]

A Practical Use For Python Decorators — Logging, Error Checks, and Timing

When using a Python decorator, especially one defined in another library, they seem somewhat magical. Take for example Flask’s routing mechanism. If I put some statement like @app.route(“/”) above my logic, then poof, suddenly that code will be executed when I go […]

Running Python Background Jobs with Heroku

Recently, I’ve been working on a project that scrapes Reddit looking for links to products on Amazon. Basically the idea being that there’s valuable info in what people are linking to and talking about online, and a starting point would […]

Classifying Amazon Reviews with Scikit-Learn — More Data is Better Turns Out

Last time, I went through some basics of how naive Bayes algorithm works, and the logic behind it, and implemented the classifier myself, as well as using the NLTK. That’s great and all, and hopefully people reading it got a […]

Practical Naive Bayes — Classification of Amazon Reviews

If you search around the internet looking for applying Naive Bayes classification on text, you’ll find a ton of articles that talk about the intuition behind the algorithm, maybe some slides from a lecture about the math and some notation behind […]

Talkin’ ‘Bout Trucks, Beer, and Love in Country Songs — Analyzing Genius Lyrics

Trucks, beer, and love, all things that make country music go round. I’ve said before that country music is just pop music with a slide, and then lyrics about slightly different topics than what you’ll hear in hip hop or “normal” pop […]