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In the following article, let’s take a look at what coroutines in python are. Learn about pythoncoroutines and what role coroutines can play in python programming.
python coroutine
The operations of threads and processes are triggered by the program through the system interface, and the final executor is the system; the operation of the coroutine is the programmer.
The significance of the existence of coroutines: For multi-threaded applications, the CPU switches the execution between threads through slicing, and it takes time to switch threads (save the state and continue next time). Coroutines use only one thread to specify the execution order of a certain code block in one thread.
Applicable scenarios for coroutines: When there are a large number of operations (IO) that do not require CPU, it is suitable for coroutines;
event loop is the control point for coroutine execution. If you If you want to execute the coroutine, you need to use them.
Event loop provides the following features:
Registration, execution, cancellation of delayed calls (asynchronous functions)
Create client and server protocols (tools) for communication
Create subprocesses and protocols (tools) that communicate with other programs
Send function calls into the thread pool
Let’s give an example:
Coroutine instance
import asyncio asyncdef cor1(): print("COR1 start") await cor2() print("COR1 end") asyncdef cor2(): print("COR2") loop = asyncio.get_event_loop() loop.run_until_complete(cor1()) loop.close()
The last three lines are the focus.
asyncio.get_event_loop() : asyncio starts the default event loop
run_until_complete() : This function is blocking execution until all asynchronous functions are executed,
close () : Close event loop.
The above is all the content described in this article. This article mainly introduces the relevant knowledge of python coroutine. I hope you can use the information to understand the above content. I hope what I have described in this article will be helpful to you and make it easier for you to learn python.
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