List comprehensions in Python are a concise way to create lists. They allow you to generate a new list by iterating over an existing one and applying conditions or transformations. 🧠

Basic Syntax

A simple list comprehension follows this structure: 

[expression for item in iterable]

Example: 

squares = [x**2 for x in range(10)]  
# Equivalent to:  
squares = []  
for x in range(10):  
    squares.append(x**2)

👉 Explore more about Python loops to deepen your understanding.

Advanced Techniques

  • Nested List Comprehensions: 
    matrix = [[row[i] for row in [[1,2,3],[4,5,6],[7,8,9]]] for i in range(3)]
  • Conditional Filters: 
    even_squares = [x**2 for x in range(10) if x % 2 == 0]
  • Combining with Functions: 
    [len(word) for word in "hello world".split()]

Use Cases

  • Data cleaning: Filter and transform datasets efficiently.
  • Generating sequences: Create lists of numbers, strings, or objects.
  • Simplifying code: Replace verbose loops with one-liners.

💡 Check out this visual guide on list comprehensions for interactive examples.

Python List Comprehensions Examples

For further learning, visit our Python Advanced Features section! 🚀