When to Use a List Comprehension in Python

Python is famous for allowing you to write code that’s elegant, easy to write, and almost as easy to read as plain English. 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. 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. By the end of this tutorial,…

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Master Python List Comprehension in 2 Minutes

This tutorial explains Python List Comprehension, the most economical way (in terms of code) to create a list in Python. List Comprehension is also the fastest method to traverse a list, apply some condition, and return a new list with selected elements. You may find it similar to Python filter() method that filters values based on some condition. However, list comprehension has a much powerful syntax which gives options to add expressions and use if statement. Let’s first answer – Why would you want to use List Comprehension? It is…

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Which is Faster: List Comprehension or Map Function in Python?

Python’s creator Guido van Rossum doesn’t like the map() function because it can be easily replaced with list comprehension which is not only faster but also more readable and shorter. Here’s an example: xs = list(range(10)) list_1 = list(map(lambda x: x*x, xs)) list_2 = [x*x for x in xs] print(list_1 == list_2) # True Both lists list_1 and list_2 contain the same data: a series of squared values [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]. The code shows two ways to achieve the same result. Either you…

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