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Python3.6 and asynchronous programming
This document discusses asynchronous programming in Python 3.6 using async and await. It covers coroutines, event loops, asynchronous programming techniques, and libraries like asyncio and curio. The document argues that asynchronous programming produces more readable and efficient code compared to multithreading, as event loops can schedule coroutine execution in a non-predetermined order based on I/O availability.
Python3.6 and asynchronous programming
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- 2. Clock is runningout…. The Count down Porting code Futurize Best practices Pep8 and Autopep8 Flake8 Code that runs on both 2 and 3
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- 4. Concurrent Vs Parallel Stackoverflow answer here Coroutines are control structures that run your methods Coroutines are nice to each other Event loops takes care of scheduling the coroutines Event loop use Select/Poll to schedule coroutines that wait for IO
- 5. Asynchronous Programming What? Order or execution is not predetermined Why? More readable and self documenting code Efficient as order execution is determined at run time Coroutines + Asynchronous programming go well together Most real world problems do not need multiple threads (I will prove this one) How? Boost.asio for C and C++ developers Twisted, Gevent, Eventlet, Tornado for python 2.7 Asyncio, Curio for Python 3.6 (Standard library) Goroutines for Go Promise for Javascript
- 6. Still think threadsare good?
- 7. Python loves Asynchronous programming Pep255 Simple generators Pep342 Enhanced generators, the rise of coroutines Pep380 Delegating to Subgenerator Pep492 Coroutines and Asynchronous context managers with async / await (We are here) Pep3148 Future objects Pep525 Asynchronous Generators Pep530 Asynchronous Comprehension