High Performance Python
by Ian Ozsvald
Publisher: ianozsvald.com 2011
Number of pages: 55
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.
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by John C. Lusth - The University of Alabama
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