Introduction

I don't think it's too much of a stretch to say that software is part of most scientific research now.
 From astronomy, to neuroscience, to chemistry, to climate models. 
 If you work in research that hasn't been affected by software yet, just wait.

But how good is that software? 

How much of common best practices in software development are making it to those writing software in the sciences?

Patrick Mineault has written "The Good Research Code Handbook". 
 It's a website. It's concise. 
 And it will put you on the right path to writing better software.
 Even if you don't write science based software, and even if you already have a CS degree, there's some good information worth reading.

Special Guest: Patrick Mineault.

Links:

• The Good Research Code Handbook
• game-wrath-jam: A game jam game, theme: Wrath
• Robotron 2084 - Arcade - YouTube
• The Book of Why: The New Science of Cause and Effect

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• The Complete pytest course is now a bundle, with each part available separately.
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  • Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI
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