Unlock the Power of NumPy Speed Up Python Performance
Автор: CyberSecurity Summary
Загружено: 2024-10-18
Просмотров: 11
Описание:
This summary is talking about the Book "Advanced Python Programming - Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis".
It is covering topics from high performance and concurrency to multi-threading and design patterns. It starts with the fundamentals of benchmarking and profiling code, dives into optimizing Python code using algorithms and data structures, and then explores the capabilities of libraries like NumPy and Pandas for efficient array operations. The book further explores optimizing Python code using Cython and delves into the concepts of concurrency and parallel programming, exploring different techniques like threading, multiprocessing, and asynchronous I/O. Finally, it explains various design patterns with practical examples, such as factory, builder, adapter, decorator, bridge, facade, MVC, proxy, chain of responsibility, command, and observer patterns.
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