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Losing Your Loops: Fast Numerical Computing with NumPy (PyCon 2015)

by Jake VanderPlas

Published April 10, 2015 in Programming

NumPy, the core array computing library for Python, provides tools for flexible and powerful data analysis, and is the basis for most scientific code written in Python. Getting the most out of NumPy, though, might require slightly changing how you think about writing code: this talk will outline the basic strategies essential to performing fast numerical computations in Python with NumPy.

Presentation video here: https://www.youtube.com/watch?v=EEUXKG97YRw

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