How python optimizes the cycle

This article mainly introduces how to optimize the cycle of python, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

Optimized cycle

Each programming language emphasizes the need to optimize loops. When using Python, you can rely on a lot of techniques to make the loop run faster. However, one method that developers often miss is to avoid using point operations in a loop. For example, consider the following code:

Lowerlist = ['this',' is', 'lowercase'] upper = str.upperupperlist = [] append = upperlist.appendfor word in lowerlist: append (upper (word)) print (upperlist) # Output = [' THIS', 'IS',' LOWERCASE']

Every time you call the method str.upper,Python, it will ask for the value of the method. However, if you replace the obtained value with a variable, the value becomes known and Python can perform the task faster. The key to optimizing the loop is to reduce the amount of work that Python executes inside the loop, because Python's native interpreter really slows down execution in that case.

(note: there are many ways to optimize loops, and this is just one of them. For example, many programmers would say that list derivation is the best way to improve execution speed in a loop. The key here is that optimizing loops is one of the better ways for programs to achieve higher execution speed. )

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