Python's filter(): Extract Values From Iterables

Python's filter(): Extract Values From Iterables

In this stutorial, you'll learn how Python's filter() works and how to use it effectively in your programs. You'll also learn how to use list comprehension and generator expressions to replace filter() and make your code more Pythonic.

In this step-by-step tutorial, you'll learn how Python's filter() works and how to use it effectively in your programs. You'll also learn how to use list comprehension and generator expressions to replace filter() and make your code more Pythonic.

Python’s filter() is a built-in function that allows you to process an iterable and extract those items that satisfy a given condition. This process is commonly known as a filtering operation. With filter(), you can apply a filtering function to an iterable and produce a new iterable with the items that satisfy the condition at hand. In Python, filter() is one of the tools you can use for functional programming.

In this tutorial, you’ll learn how to:

  • Use Python’s filter() in your code
  • Extract needed values from your iterables
  • Combine filter() with other functional tools
  • Replace filter() with more Pythonic tools

With this knowledge, you’ll be able to use filter() effectively in your code. Alternatively, you have the choice of using list comprehensions or generator expressions to write more Pythonic and readable code.

To better understand filter(), it would be helpful for you to have some previous knowledge on iterablesfor  loopsfunctions, and lambda  functions.

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