High Performance Python

Focuses on common causes of poor performance, from the algorithmic roots of code to Python-specific idioms, and shows you how to make your Python code as efficient as possible. This book features practical examples to help you grasp the theory of computation and algorithms.

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Suffering from poor application performance? Reach for "High Performance Python" - the only book that fully addresses the theory and practice of Python optimization. While Python can help you implement complex, mission-critical applications from scratch, poorly optimized code can waste millions of processor cycles. This book focuses on common causes of poor performance, from the algorithmic roots of code to Python-specific idioms, and shows you how to make your Python code as efficient as possible. You'll get a practical view of theoretical computer science and optimization that most people outside of the postgraduate arena never see. Not only will you learn how to improve application performance, you'll become a more thoughtful programmer. The key features of this book include: get practical examples to help you grasp the theory of computation and algorithms; learn specific improvements for Python by understanding the basics of optimization; gain significant increases in application performance by making simple alterations; work with iteration, imaging, strings, precedence, function calling, and math; and acquire a framework for understanding programming languages in general.