Maintainable data science: Tips for non-developers
Episode #227,
published Wed, Aug 28, 2019, recorded Tue, Aug 6, 2019
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Did you come to software development outside of traditional computer science? This is common, and even how I got into programming myself. I think it's especially true for data science and scientific computing. That's why I'm thrilled to bring you an episode with Daniel Chen about maintainable data science tips and techniques.
Links from the show
Links from the show
Daniel on Twitter: @chendaniely
Pandas for Everyone book: amazon.com
pyprojroot project: github.com
Pyopensci: pyopensci.org
Jenny Bryan naming things: speakerdeck.com
Jenny Bryan’s code smells:
Talk: youtube.com
Slides: speakerdeck.com
3 papers that are highly relevant papers:
A Quick Guide to Organizing Computational Biology Projects: journals.plos.org
Best Practices for Scientific Computing: plos.org
Good enough practices in scientific computing: plos.org
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
Pandas for Everyone book: amazon.com
pyprojroot project: github.com
Pyopensci: pyopensci.org
Jenny Bryan naming things: speakerdeck.com
Jenny Bryan’s code smells:
Talk: youtube.com
Slides: speakerdeck.com
3 papers that are highly relevant papers:
A Quick Guide to Organizing Computational Biology Projects: journals.plos.org
Best Practices for Scientific Computing: plos.org
Good enough practices in scientific computing: plos.org
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy
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