What Are List Comprehensions?
In Python, list comprehensions provide a concise way to create lists. They enable you to generate new lists where each element is derived from the elements of another iterable (a sequence or container that can be iterated over).
How Do List Comprehensions Work?
A list comprehension consists of:
The result of the comprehension is a list where each element represents the result of applying the expression to each item in the iterable.
Example:
[x ** 2 for x in range(10)]
This comprehension generates a list of squared values for each number in the range 0 to 9, resulting in the following list:
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
Beyond List Comprehensions:
List comprehensions can be extended to other data structures.
Utilizing List Comprehensions:
List comprehensions offer versatile use cases, including:
Nested List Comprehensions:
Multi-level for loops can be used in list comprehensions, e.g., [j for x in [[1, 2, 3], [4, 5, 6]] for j in x], which returns a flattened version of the nested lists.
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