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.
最开始的CPU是单核的,就像一个人只有一个大脑一样,所以当有多个task需要处理的时候,最直接的办法就是一个处理完,再处理下一个。 后来发现任务可以进行更小粒度的切分,就像煮饭和炒菜,可以在煮饭的时候赶紧炒菜,那么多个不相关不依赖的指令就可以同时运行。如此在单核CP...
評分 評分例子给的很多,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...
評分 評分#心靈雞湯# 看一個男人的品味要看他的鞋子;看一個人的Python功底,要看他在項目中對類型驗證的把控!
评分乾貨!
评分Python參考資料
评分The last chapter alone is worth five stars
评分乾貨!
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