Python List Comprehensions
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Python List Comprehensions: Write Cleaner, Faster Code
Python list comprehensions are a concise and elegant way to create lists. Instead of using loops and append(), you can generate lists in a single readable line.
Basic Syntax
python
[expression for item in iterable if condition]
For example:
python
squares = [x**2 for x in range(10)]
This creates a list of squares from 0 to 81. Without list comprehension, you'd write:
python
squares = []
for x in range(10):
squares.append(x**2)
With Conditions
You can add an if clause to filter items:
python
even_squares = [x**2 for x in range(10) if x % 2 == 0]
This returns only the squares of even numbers.
Nested Loops
List comprehensions also support nested loops:
python
pairs = [(x, y) for x in [1, 2] for y in [3, 4]]
Use Cases
Transforming data
Filtering lists
Flattening nested lists
Benefits
Cleaner code
Fewer lines
Often faster than traditional loops
Caution
Overusing or nesting too deeply can reduce readability. Use them when they make code more intuitive, not more complex.
Read More
Error Handling in Python with Try/Except
Object-Oriented Programming in Python
Functions in Python: A Beginner’s Guide
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