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This article is about how python achieves loop optimization. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Loop Optimization # is not recommended. Code time: 6.7 seconds def computeSum (size: int)-> int: sum_ = 0 I = 0 while I

Int: sum_ = 0 for i in range (size): # for loop instead of while loop sum_ + = I return sum_ def main (): size = 10000 for _ in range (size): sum_ = computeSum (size) main ()

Implicit for loop replaces explicit for loop

# recommended writing method. Code time: 1.7s def computeSum (size: int)-> int: return sum (range (size)) # implicit for loop instead of explicit for loop def main (): size = 10000 for _ in range (size): sum = computeSum (size) main () Thank you for reading! This is the end of this article on "how to achieve cycle optimization in python". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it out for more people to see!

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