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Introduction to python higher-order functions
Python high-order functions include map(), filter(), reduce(), lambda function, partial(), etc. If you want to know more about Python's higher-order functions, you can read the articles below this topic.
What are the higher-order functions in Python?High-order functions include map(), filter(), reduce(), lambda function, partial(), etc. Detailed introduction: 1. map(): This built-in function accepts a function and one or more iterable objects as input, and then returns an iterator that applies the input function to each element of the iterable object; 2. filter() : This built-in function takes a function and an iterable object as input, and returns an iterator that yields those elements that cause the input function to return True, etc.
How to create higher-order functions in Python?In Python, a function that takes another function as an argument or returns a function as output is called a higher-order function. Let's see its features - the function can be stored in a variable. This function can be passed as a parameter to another function. Higher-order functions can be stored in the form of lists, hash tables, etc. Functions can be returned from functions. Let's look at some examples − Functions as objects The Chinese translation of Example is: Example In this example, these functions are treated as objects. Here, function demo() is assigned to a variable - #Creatingafunctiondefdemo(mystr):returnmystr.swapcase()#swappingthecase
How to implement pruning functions using high-order functions in pythonThis article mainly introduces in detail the relevant information on Python's use of higher-order functions to implement pruning functions. It has certain reference value. Interested friends can refer to it. I hope it can help everyone.
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