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www.joeltok.com
| | utf9k.net
5.6 parsecs away

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| | A step by step walkthrough on how I cleaned up some data as part of a side project
| | data36.com
5.4 parsecs away

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| | Learn data science and machine learning in Python, pandas and scikit learn! This is a free series of 20 in-depth tutorial articles.
| | initialcommit.com
4.5 parsecs away

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| | In this tutorial you will learn how to use the pandas.head() function and how it can be used in machine learning, as well as how to use the pandas.tail() function.
| | www.ethanrosenthal.com
29.8 parsecs away

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| I make Python packages for everything. Big projects obviously get a package, but so does every tiny analysis. Spinning up a quick jupyter notebook to check something out? Build a package first. Oh yeah, and every package gets its own virtual environment. Let's back up a little bit so that I can tell you why I do this. After that, I'll show you how I do this. Notably, my workflow is set up to make it simple to stay consistent.