Category: python

Python 2.7 still reigns supreme in pip installs

The Python 2 vs. Python 3 divide has long been a thorn in the Python community’s side. On one hand, Python package developers face the challenge of supporting two incompatible versions of Python, which is time that could be better

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Computing optimal road trips on a limited budget

About a year ago, I wrote an article introducing the concept of optimizing road trips using a combination of genetic algorithms and Google Maps. During that time, I’ve given some thought to how I could make that algorithm more useful

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TPOT: A Python tool for automating data science

Machine learning is often touted as: A field of study that gives computers the ability to learn without being explicitly programmed. Despite this common claim, anyone who has worked in the field knows that designing effective machine learning systems is

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Major League Baseball home run leaders, 1871-2016

Earlier this week, a Reddit user shared a fascinating animated data visualization showing the MLB home run leaders from the past 200+ years. I found this visualization especially interesting because it was one of the few examples where I’ve seen

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Revisiting the vaccine visualizations

Last year, the vaccination debate was all the rage again. “Pro-vaxxers” were loudly proclaiming that everyone should get vaccinated and discussing the science behind it, and “anti-vaxxers” were casting their doubts and still refusing to get vaccinated for personal reasons.

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Introducing TPOT, the Data Science Assistant

Some of you might have been wondering what the heck I’ve been up to for the past few months. I haven’t been posting much on my blog lately, and I haven’t been working on important problems like solving Where’s Waldo?

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webr00t

pornolar

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Python usage survey 2014

Remember that Python usage survey that went around the interwebs late last year? Well, the results are finally out and I’ve visualized them below for your perusal. This survey has been running for two years now (2013-2014), so where we

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How to make beautiful data visualizations in Python with matplotlib

Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue.

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Sagemath Cloud makes collaborating with IPython Notebooks easier than ever

Earlier this year, Sagemath Cloud went into open beta so anyone can play around with it. If you’re not familiar with the service, it’s a free cloud-based web service that provides access to personal directories, a terminal, IPython Notebook (incl.

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