Monitor performance issues & errors in your code

Maintainable data science: Tips for non-developers

Episode #227, published Wed, Aug 28, 2019, recorded Tue, Aug 6, 2019

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

Daniel on Twitter: @chendaniely
Pandas for Everyone book:
pyprojroot project:

Jenny Bryan naming things:

Jenny Bryan’s code smells:

3 papers that are highly relevant papers:
A Quick Guide to Organizing Computational Biology Projects:
Best Practices for Scientific Computing:
Good enough practices in scientific computing:
Episode transcripts:

--- Stay in touch with us ---
Subscribe to us on YouTube:
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy

Want to go deeper? Check out our courses

Talk Python's Mastodon Michael Kennedy's Mastodon