Tips & tricks for large-scale data processing in Python

See result: https://bigdatabiology.github.io/talk-tips-n-tricks-large-python/

Goal: Share a series of short (~3 minutes) tips and tricks.

It does not have to be a complete piece of code.

It can be

1. A package you think is cool
2. A particular pandas utility that you realized is (i) very fast or (ii) very powerful or (iii) something else
3. It can be a negative example: maybe something that works very well for small datasets, but becomes too slow at scale
4. ...

Instructions: Add slides to talk.md and corresponding examples to examples. Make sure you add your name so that if someone in six months vaguely remembers that you presented something, they can go back to you.

Running it locally

python -m http.server &

Then open http://127.0.0.1:8000 on your browser.

LICENSE: CC BY.