Filter, Map & Reduce Functions In Python

Python includes a number of predefined built-in functions that can be utilized by the end-user by simply calling them. These functions not only make programmers’ jobs easier, but they help establish a common coding environment. In this tutorial, you’ll learn about three of Python’s most powerful functions: map(), filter(), and reduce().

Functional programming’s three pillars are map, filter, and reduce functions. While Python isn’t exactly a functional programming language, it does have a lot of features that make it so. The map(), filter(), and reduce() functions in Python are discussed in this tutorial video, as well as how they correspond to functional programming principles.

The map() function in Python takes a function and a sequence as input and applies the function to each element in the sequence, returning a new sequence with the results. The map() function is a powerful tool for transforming data in Python, and it can be used to perform a wide variety of operations on sequences, such as applying a mathematical function to each element or converting strings to integers.

The filter() function in Python takes a function and a sequence as input and returns a new sequence containing only the elements from the input sequence for which the function returns True. This function is useful for filtering data in Python and can be used to create more efficient and concise code.

The reduce() function in Python takes a function and a sequence as input and repeatedly applies the function to the elements of the sequence, reducing the sequence to a single value. This function is useful for performing operations that involve aggregating data, such as calculating the sum or product of a sequence.

These three functions correspond to the principles of functional programming, which emphasizes the use of functions to manipulate data, rather than relying on mutable state and imperative programming constructs like loops and conditionals. By using map(), filter(), and reduce(), programmers can write more concise and maintainable code that is easier to reason about.

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