193: The Good Research Code Handbook - Patrick Mineault
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.
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.
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
Sponsored by:
- The Complete pytest course is now a bundle, with each part available separately.
- pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.
- Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI
- Then pytest Booster Rockets can help with advanced parametrization and building plugins.
- Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you.
Creators and Guests
Guest
Patrick Mineault
Neuro AI, vision, Python, open science. Senior ML scientist @ Mila. Previously engineer @ Google, Meta.
