What are the disadvantages of using the cooperative program in Python

This article mainly introduces the Python use of what shortcomings of the relevant knowledge, the content is detailed and easy to understand, the operation is simple and fast, with a certain reference value, I believe that everyone after reading this Python use of what shortcomings of the article will have a harvest, let's take a look at it.

1. Multicore resources cannot be used: the essence of a co-program is a single thread, which cannot use multiple cores and co-programs of a single CPU at the same time.

2. The upstream itinerary of multi-CPU needs to be coordinated with the process.

Of course, most of the applications you write every day are unnecessary.

Unless it is a cpu-intensive application.

3. Blocking operations (such as IO) block the entire program.

Example

# basic use of collaborative programs Switch between yield and next to switch back and forth between def func1 (): for i in range (11): print (f "first class printing {I} data") yield def func2 (): G = func1 () next (g) for i in range (10): print (f "second class printing {I} data") next (g) If _ _ name__ = = "_ _ main__": func2 () this is the end of the article on "what are the disadvantages of using Python protocol"? Thank you for reading! I believe that everyone has a certain understanding of the knowledge of "what are the shortcomings of using Python?". If you still want to learn more knowledge, you are welcome to follow the industry information channel.