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What are the disadvantages of using the cooperative program in Python

2025-04-01 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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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.

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