在《网络工程师的Python之路 -- netdev(异步并行)》笔者介绍了如何在Python中使用单线程异步来提高Python脚本的工作效率,通过给5台交换机做配置的实验,证明了异步(Asynchronous)是如何将同步(Synchronous)下一个需要45秒才能执行完成的脚本的运行时间缩短至仅仅5秒的。今天我们来讲下另外一种提高脚本执行效率的技术:多...
While thezen of Pythontells us there should be one obvious way to do something, there are many ways in Python to introduce concurrency into our programs. The best method to choose is going to depend on your specific use case. The asynchronous paradigm scales better to high-concurrency workload...
Asynchronous programming, facilitated by the asyncio library, has become increasingly popular for managing concurrency in Python. By using coroutines and an event loop, asynchronous programming allows tasks to yield control to the event loop when waiting for external resources, maximizing the efficiency ...
or just has lost the network connection. This can be achieved by building a custom asynchronous queue that will hold all pending requests until the worker is resumed. However, since we are looking for easiest solutions, we will be using (again) the event loop’s queue for the same purpose...
Chapter 6: Working with Processes in Python Chapter 7: Reduction Operators in Processes Chapter 8: Concurrent lmage Processing Chapter 9: Introduction to Asynchronous Programming Chapter 10: Implementing Asynchronous Programming in Python Chapter 11: Building Communication Channels with asyncio ...
Python Network Programming I - Basic Server / Client : B File Transfer Python Network Programming II - Chat Server / Client Python Network Programming III - Echo Server using socketserver network framework Python Network Programming IV - Asynchronous Request Handling : ThreadingMixIn and ForkingMixIn ...
Python Multithread Identifying threads - naming and logging Daemon thread & join() method Active threads & enumerate() method Timer Object TheTimeris a subclass ofThread.Timerclass represents an action that should be run only after a certain amount of time has passed. ATimerstarts its work ...
Python Multithread Identifying threads - naming and logging Daemon thread & join() method Active threads & enumerate() method Subclassing & overriding run() and __init__() methods Timer objects Event objects - set() & wait() methods
Python Network Programming I - Basic Server / Client : B File Transfer Python Network Programming II - Chat Server / Client Python Network Programming III - Echo Server using socketserver network framework Python Network Programming IV - Asynchronous Request Handling : ThreadingMixIn and ForkingMi...
Python Multithread Identifying threads - naming and logging Daemon thread & join() method Active threads & enumerate() method Subclassing & overriding run() and __init__() methods daemon threads Daemons are only useful when the main program is running, and it's okay to kill them off once...