When Python programmers are asked about their favorite Python features, list comprehensions often make the list. They’re an example of Pythonic looping.
These lessons are part of a Real Python video course by Rich Bibby.
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Understanding Python List Comprehensions (Overview)
00:00 Hi, I’m Rich Bibby with realpython.com. Python is famous for allowing you to write code that’s elegant, easy to write, and almost as easy to read as plain English.
00:10 One of the language’s most distinctive features is the list comprehension, which you can use to create powerful functionality within a single line of code.
00:19 However, many developers struggle to fully leverage the more advanced features of a list comprehension in Python. Some programmers even use them too much, which can lead to code that’s less efficient and harder to read.
00:31 By the end of this tutorial, you’ll understand the full power of Python list comprehensions and how to use their features comfortably. You’ll also gain an understanding of the trade-offs that come with using them so that you can determine when other approaches are more preferable.
00:47
In this tutorial, you’ll learn how to rewrite loops and map calls as a list comprehension in Python; choose between comprehensions, loops, and map calls; supercharge your comprehensions with conditional logic; use comprehensions to replace filter(); and profile your code to solve performance questions. So, let’s get started!
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