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In this Python tutorial you’ll discover further basics of functional programming, namely how to use the “map()” function to transform data structures.
We’ll take an example data set represented using an immutable data structure from the previous videos in this series, and then we’ll create a “transformed” version of the same data using Python’s built-in map function.
“map()” is one of the functional programming primitives or building blocks available in Python and it’s useful in a number of contexts.
Later in the video you’ll also see how the map function relates to list comprehensions and generator expressions and how using them is (arguably) more Pythonic that relying on plain “map()” calls.
This video is part of a series of Python functional programming tutorials that I’m recording so stay tuned for the next instalment.
Be sure to check out these associated articles and tutorials if you want to dive deeper into the subject:
* Immutable Data Structures in Python:
* List comprehensions:
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