Crank your Python best practices up to 11 with Reproducible Builds!

This talk will explore Reproducible Builds by highlighting issues
identified in Python projects, from the simple to the seemingly
inscrutible.

Reproducible Builds is basically the crazy idea that when you build
something, and you build it again, you get the exact same thing... or
even more important, if someone else builds it, they get the exact
same thing too.

Through a few code examples demonstrating common problems folks will
learn what to watch out for when coding and how to fix them once
identified.

Some of the useful tooling for diagnosing and troubleshooting
reproducibility issues (diffoscope and reprotest)... just so happen to
be written in Python! Will even show you how to use them... and maybe
take a look inside.