What is list comprehension?

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List comprehension in Python is a concise way to create lists by performing operations or filtering items from an existing iterable (like a list, tuple, or range) in a single line of code.

Basic Syntax:

[expression for item in iterable]

Example:

squares = [x*x for x in range(5)]

print(squares)  # Output: [0, 1, 4, 9, 16]

This creates a list of squares from 0 to 4.

With Condition (Filtering):

numbers)  # Output: [0, 2, 4, 6, 8]

Nested List Comprehension:

matrix = [[i * j for j in range(3)] for i in range(3)]

# Output: [[0, 0, 0], [0, 1, 2], [0, 2, 4]]

Advantages:

Shorter and cleaner code.

Improves readability for simple operations.

Often faster than traditional loops.

Use Cases:

Mapping and transforming data.

Filtering items from a list.

Creating lists from other iterables.

Summary:

List comprehension is a powerful feature in Python that lets you generate new lists in a clean and efficient way using simple or conditional expressions in a single line of code.

Read More:

What is the difference between .loc and .iloc?

What are lambda functions?0

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