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nikgrozev.com | ||
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www.gregreda.com
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| | | | | Part one of a three part introduction to the pandas library. Geared towards SQL users, but is useful for anyone wanting to get started with pandas. | |
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janakiev.com
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| | | | | One of the crucial tasks when working with data is to load data properly. The common way the data is formated is CSV, which comes in different flavors and varying difficulties to parse. This article shows three common approaches in Python. | |
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www.ethanrosenthal.com
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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. | |
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munkm.github.io
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| | | A talk describing a proof-of-concept jupyter widget using rust-compiled webassembly for data exploration in the browser. This talk was presented at SciPy 2018 in the DataViz track on Friday, July 13th in Austin, TX. | ||
