Python 3 Asynchronous Programming异步编程简单入门
- 4.4
- (140+ reviews)
- Created by Peng Xiao
- Language: Simplified Chinese
Description
python由于GIL（全局锁）的存在，不能发挥多核的优势，其性能一直饱受诟病。然而在IO密集型的网络编程里，异步处理比同步处理能提升成百上千倍的效率，弥补了python性能方面的短板，如最新的微服务框架japronto，resquests per second可达百万级。
python还有一个优势是库（第三方库）极为丰富，运用十分方便。asyncio是python3.4版本引入到标准库，python3.5又加入了async/await特性。
以下PEP是本课程的参考资料：
PEP 255 — Simple Generators
PEP 342 — Coroutines via Enhanced Generators
PEP 380 — Syntax for Delegating to a Subgenerator
PEP 492 — Coroutines with async and await syntax
PEP 525 — Asynchronous Generators
从这些 PEPs 中可以看出 Python 生成器 / 协程的发展历程：先是 PEP 255 引入了简单的生成器；接着 PEP 342 赋予了生成器 send() 方法，使其可以传递数据，协程也就有了实际意义；接下来，PEP 380 增加了 yield from 语法，简化了调用子生成器的语法；然后，PEP 492 将协程和生成器区分开，使得其更不易被用错；最后，PEP 525 提供了异步生成器，使得编写异步的数据产生器得到简化。
本课程就是从最基本的yield语法开始，让大家了解协程和异步背后实现的机理，然后再讲解asyncio的基本的语法，从而让大家对异步和asyncio有深入的理解。
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