Practical Optimisations for Pandas

YouTube·EuroPython

Discover techniques for writing efficient pandas code in this 46-minute EuroPython 2020 conference talk. Learn to identify performance bottlenecks, implement computational efficiency strategies, and optimize memory usage in pandas. Explore various optimizations including data processing, reading data, using NumExpr, subselecting, concatenating, appending, sorting, filtering, compiling with Cython, leveraging pure Python and vectorized methods, managing memory footprint, implementing concurrency and parallelism, and utilizing other frameworks. Gain insights into additional resources and techniques for enhancing pandas performance in data science applications.