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Python's map() Function: Transforming Iterables

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Cesar Aguilar

1:17:42

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  • RP-map-Lesson-0.mp4
    06:26
  • RP-map-Lesson-1.mp4
    14:52
  • RP-map-Lesson-2.mp4
    12:37
  • RP-map-Lesson-3.mp4
    07:05
  • RP-map-Lesson-4.mp4
    08:16
  • RP-map-Lesson-5.mp4
    10:19
  • RP-map-Lesson-6.mp4
    07:22
  • RP-map-Lesson-7.mp4
    09:12
  • RP-map-Lesson-8.mp4
    01:33
  • map.pdf
  • map lessons.zip
  • Description


    Python’s map() is a built-in function that allows you to process and transform all the items in an iterable without using an explicit for loop, a technique commonly known as mapping. map() is useful when you need to apply a transformation function to each item in an iterable and transform them into a new iterable. map() is one of the tools that support a functional programming style in Python.

    In this course, you’ll learn:

    What You'll Learn?


    • How Python’s map() works
    • How to transform different types of Python iterables using map()
    • How to combine map() with other functional tools to perform more complex transformations
    • What tools you can use to replace map() and make your code more Pythonic

    More details


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    Cesar Aguilar
    Cesar Aguilar
    Instructor's Courses

    Cesar is an avid Pythonista and records video courses for Real Python. He enjoys teaching programming to anyone who listens and seeing in others their programming “eureka” moment. His first love is mathematics and teaches it to anyone who listens, and then tells them that they should also learn how to code (in Python of course!). Annoyed with the licensing circus of commercial software, Cesar started using Python in 2013 for his research in differential equations and graph theory. When not coding in Python, Cesar enjoys web development in PHP and JavaScript.

    Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
    • language english
    • Training sessions 9
    • duration 1:17:42
    • Release Date 2023/01/05