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list-comprehension-python

Learn list-comprehension-python in Python with step-by-step examples.

List comprehensions in Python provide a concise way to create lists. The syntax consists of brackets containing an expression followed by a for clause, and optionally, one or more if clauses. For example: [x for x in iterable].

List comprehensions are useful because they allow you to write more readable and efficient code. They often replace longer loops or the need to use the map and filter functions, making your code shorter and easier to maintain.

Common use cases for list comprehensions include transforming elements in a list, filtering elements based on a condition, and generating new lists from existing data structures.

Code Examples

Example 1

# Create a list of squares for numbers 0 through 9
squares = [x**2 for x in range(10)]
print(squares)  # Output: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

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