High Performance Python - Practical Performant Programming for Humans

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 Python's 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

Info autore

Micha Gorelick has worked as a machine learning researcher and engineer for The Markup and OCCRP. She was the co-founder of an applied machine learning company, Fast Forward Labs and authored the book œHigh Performance Python. She has worked as the lead researcher on a variety of cutting-edge research projects on topics ranging from neural networks for text summarization, probabilistic programming for understanding housing prices and various machine learning approaches for journalism.

Dettagli sul prodotto

• Autori: Micha Gorelick, Ian Oszvald, Ian Ozsvald, Micha Gorelick, Ian Oszvald, Ozsvald Ian
• Editore: O'Reilly
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 10.06.2025
• EAN: 9781098165963
• ISBN: 978-1-0981-6596-3
• Dimensioni: 234 mm x 176 mm x 28 mm
• Peso: 900 g
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Data Mining, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / General, Computer programming / software engineering, Programming & scripting languages: general, Programming and scripting languages: general, COMPUTERS / Data Science / Data Analytics, Computer Programming / Software Development, COMPUTERS / Languages / Python, Data capture and analysis, Data Capture & Analysis