Description

Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Pythons implementation.

How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more.

Get a better grasp of NumPy, Cython, and profilers

Learn how Python abstracts the underlying computer architecture

Use profiling to find bottlenecks in CPU time and memory usage

Write efficient programs by choosing appropriate data structures

Speed up matrix and vector computations

Process DataFrames quickly with Pandas, Dask, and Polars

Speed up your neural networks and GPU computations

Use tools to compile Python down to machine code

Manage multiple I/O and computational operations concurrently

Convert multiprocessing code to run on local or remote clusters

Author: Micha Gorelick, Ian Ozsvald
Binding Type: Paperback
Publisher: OReilly Media
Published: 06/03/2025
Pages: 521
Weight: 1.82lbs
Size: 9.19h x 7.00w x 1.05d
ISBN: 9781098165963
Language: English