List comprehensions in Python provide a concise way to create lists. They are a powerful tool for transforming data and filtering elements in a single line of code. Here's a quick guide:
💻 Basic Syntax
[expression for item in iterable]
- Example:
squares = [x**2 for x in range(10)]
📝 Conditional Expressions
Add filters using if:
even_squares = [x**2 for x in range(10) if x % 2 == 0]
🧩 Nested List Comprehensions
Create multi-dimensional lists:
matrix = [[row * col for col in range(1, 4)] for row in range(1, 4)]
📚 Expand Your Knowledge
For deeper insights, check our Python Tutorial Series to explore more advanced features.