I wanted to play around with a dataset and see what I could find out about it. I decided on analyzing the little bit of data that I could collect from Github without having to use an OAuth key, which limits it to just 300 events. If you want to follow along with my notebook check out the instructions here. This notebook was my submission for Code Challenge 47 – PyBites First Year in Data (Special).
Author
Martin Uribe
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in this article martin provides an easy-to-follow reference guide of his anaconda workflow. he uses this to make his life easier managing the his python environment and package dependencies. and to great avail as you will soon discover. not only will you learn the basics of the powerful conda tool, he also goes into more depth on the more niche/advanced features like using alternate channels, distributing and cloning environments, updating anaconda, and setting environment variables. warning: this might get you on anaconda, and if you are already you probably want to keep this one nearby for reference.
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This is a guest post by Martin, a passionate Pythonista who turns our code challenges into cool projects. In this article he describes his process of building pyTrack, a simple task time tracker. Not only did he learn various Python modules – PeeWee, Maya and Click – he also stunned us delivering a project with great documentation and properly packaged code.
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As a relatively newcomer to the Python scene I’ve come to realize that the best way to learn is to actually participate in coding challenges. This has helped to push me out of my comfort zone.