▶︎
Jake VanderPlas - Performance Python: Seven Strategies for Optimizing Your Numerical Code
▶︎
Ned Batchelder - Facts and Myths about Python names and values - PyCon 2015
▶︎
David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015
▶︎
Brett Slatkin - How to Be More Effective with Functions - PyCon 2015
▶︎
Raymond Hettinger - Beyond PEP 8 -- Best practices for beautiful intelligible code - PyCon 2015
▶︎
NumPy vs SciPy
▶︎
Make Python code 1000x Faster with Numba
▶︎
Jake Vanderplas - Statistics for Hackers - PyCon 2016.mp4
▶︎
Why The Russian Accent Terrifies Everyone
▶︎
Christoph Deil - Understanding Numba - the Python and Numpy compiler
▶︎
Something is jamming GPS over Europe. Here's what we found
▶︎
Nina Zakharenko - Elegant Solutions For Everyday Python Problems - PyCon 2018
▶︎
Introduction to Numerical Computing with NumPy | SciPy 2019 Tutorial | Alex Chabot-Leclerc
▶︎
Alex Gaynor: Fast Python, Slow Python - PyCon 2014
▶︎
1000x faster data manipulation: vectorizing with Pandas and Numpy
▶︎
The most beautiful formula not enough people understand
▶︎
Making Computation Easier with Cool Numpy Tricks - Kirit Thadaka
▶︎
Raymond Hettinger - Super considered super! - PyCon 2015
▶︎
Loop like a native: while, for, iterators, generators
▶︎