If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. 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. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it. This book will put you ahead of the curve.
具体描述
读后感
例子给的很多，讲到高性能就会提到性能监控，这本书里面有 cpu mem 方法的度量，网络这块讲了一点异步，net profiler 这块没讲。 感觉就是个简单的笔记集合，作者把可能把工作中遇到的性能问题，记录了解决方案。 行文不太顺畅，配套的代码需要安装的库都没列出来，使用的相应...
评分 评分If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various ...
评分If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various ...
用户评价
The last chapter alone is worth five stars
评分难得将python高性能的好书
评分读得太慢，以致于书中后面的内容已经有些过时，但本书最重要的还是提供了一个框架：如何系统地比较不同的数据结构、算法或模型。
评分主要看了多进程那块，写的非常不错，重点突出，有翔实的例子，手动跑起来就能看到效果。 如果再加上官方文档一起阅读，能把知识了解的非常透彻。
评分值得一看，python的性能本来就不高。但是还是要注意，能避免的劣化还是要避免。
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