2-Minute Python Guide: List Comprehensions (2026)

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2-Minute Python Guide: List Comprehensions
List comprehensions in Python provide a concise way to create new lists from existing lists or other iterables. The basic syntax is [expression for variable in iterable]. This allows you to perform transformations on each item in the iterable, creating a new list with the results.

You can also add filtering conditions using the if keyword, allowing you to include only certain items in the new list. For example, [x for x in numbers if x % 2 == 0] would create a new list containing only the even numbers from the numbers list.

Nested list comprehensions can be used to iterate over multiple iterables, creating a new list with the combined results. This can be particularly useful for creating matrices or performing other complex transformations.

Here's an example:

numbers = [1, 2, 3, 4, 5]
double_even_numbers = [x * 2 for x in numbers if x % 2 == 0]
print(double_even_numbers)  # Output: [4, 8]

In this example, we're using a list comprehension to create a new list containing the double of each even number in the numbers list.

Takeaway: List comprehensions are a powerful tool in Python, allowing you to create new lists in a concise and readable way. By combining transformations and filtering conditions, you can perform complex operations in a single line of code, making your code more efficient and easier to maintain.

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