What are list comprehensions in Python?

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List Comprehensions in Python
A list comprehension is a concise way to create lists in Python using a single line of code. It provides a more readable and efficient way to generate lists compared to traditional
for loops.
and 
Basic Syntax
[expression for item in iterable if condition]
expression → The operation performed on each item.item → Each element from the iterable (e.g., a list or range).iterable → The sequence being iterated over.if condition (optional) → A filter to include only certain elements.
and 
Examples
Creating a list from Range
numbers = [x for x in range(5)]
print(numbers)
[0, 1, 2, 3, 4]
Squaring Each Element
squares = [x**2 for x in range(5)]
print(squares)
[0, 1, 4, 9, 16]
Filtering Elements
evens = [x for x in range(10) if x % 2 == 0]
print(evens)
[0, 2, 4, 6, 8]
Using List Comprehension with Strings
words = ["apple", "banana", "cherry"]
uppercase_words = [word.upper() for word in words]
print(uppercase_words)
['APPLE', 'BANANA', 'CHERRY']
Nested List Comprehension (Flattening a List)
matrix = [[1, 2, 3], [4, 5, 6]]
flattened = [num for row in matrix for num in row]
print(flattened)
[1, 2, 3, 4, 5, 6]
Advantages of List Comprehensions
More concise than for loopsMore readable (for simple cases)Faster execution compared to traditional loops
When to Avoid List Comprehensions?
If the expression is too complex, it can reduce readabilityIf multiple conditions are involved, using a regular loop might be clearer
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What are list comprehensions in Python?

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List Comprehensions in Python

Basic Syntax

Examples

Advantages of List Comprehensions

When to Avoid List Comprehensions?

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