May 2025
Intermediate to advanced
468 pages
6h 20m
Chinese
Content preview from 《高性能 Python》第二版Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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索引
符号
- %memit、基元对象很昂贵、了解集合中使用的 RAM
- %timeit 函数、高效剖析、定时打印的简单方法和装饰器、不同的方法、不同的复杂性、完成任务的 方法 不止一种（可能还有更快的 方法
- -p 可移植性标志，使用 Unix time 命令进行简单计时
- /（整数除法/浮点除法），Python 2.7 的更改
- 一维扩散，问题简介
- 二维扩散，问题简介
- 32 位 Python、Python 3
- 64 位 Python、Python 3
- >>（跳转点），使用 dis 模块检查 CPython 字节码
- @jit 装饰器,Numba,Numba,最佳实践与建议,最佳实践与建议
- @profile 装饰器，No-op @profile 装饰器
A
- 为什么 类型信息 有助于加快代码运行？
- 使用多处理加速、共享 numpy 数据
- Adaptive Lab，Adaptive Lab 的社交媒体分析（2014 年）--给工程师同行的建议
- Aho-Corasick trie，高性能实时字符串匹配
- aiohttp、aiohttp-共享CPU-I/O 工作负载
- Airflow、异步将作业添加到队列、其他值得关注的集群工具
- 算法,列表和元组,迭代器和生成器,K-最小值-K-最小值
- 亚马逊 EC2、常见集群设计、我们的开发方法、集群设计
- 亚马逊机器图像，使用集群时避免痛苦的方法
- 亚马逊网络服务（AWS）、集群和作业队列、Python 在 Smesh 中的作用
- 亚马逊的简单队列服务 (SQS)、其他值得关注的集群工具
- 阿姆达尔定律、计算单元、多处理模块
- Anaconda Inc.,So Why Use Python?,Numba, Numba
- 异常检测、懒惰生成器评估
- Ansible、报告、监控、调试和部署
- AOT 编译器, JIT 编译器与,JIT 编译器与 AOT 编译器的比较
- Apache Spark、使用 Dask 的并行 Pandas
- API 绑定，为什么要使用 Python？
- 应用程序引擎，一些建议
- 阿奇博尔德、斯图尔特、农巴
- 架构，基本计算机系统--通信层
- ArchLinux,先决条件
- 数组
- 数组模块,为什么要使用 Python？,使用 perf 的输出做出决定,进入 numpy,Cython 和 numpy,ctypes,数组模块可以廉价地存储许多原始对象--在 NumPy 中使用 NumExpr 可以减少 RAM。
- asciidoc、Docker 的优势
- asizeof 工具，了解集合中使用的 RAM
- 主张声明，关于良好笔记本实践的一些想法
- async 函数,异步编程入门
- 异步 I/O、内存单元
- 异步作业进给，异步向队列添加作业-异步向队列添加作业
- 异步编程,异步I/O 封装
- 异步系统 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.