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This talk explains how Numba compiles Python bytecode to machine code and how to use its decorators to speed up numerical algorithms on CPUs. It covers multithreading, vector instructions, fast math, and when Numba is useful compared with other high-performance Python tools.
Syllabus
Introduction
Introducing Numba
What does Numba do
Numba Info
Multithreading
Parallelizing
Fast Math
Universal Universal Functions
Number
Number compilers
Who uses Numba
Libraries using Numba
Summary
Questions
Taught by
EuroPython Conference