High performance Python /
By: Gorelick, Micha
Title By: Ozsvald, Ian
Material type:![](/opac-tmpl/lib/famfamfam/BK.png)
Summary:
If you're an experienced Python programmer, this book will guide you through the various routes of code optimisation. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies.
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 006.7 GO HI (Browse shelf) | Available | T0012876 |
Total holds: 0
By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
If you're an experienced Python programmer, this book will guide you through the various routes of code optimisation. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies.