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?
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