13:I[9844,["2972","static/chunks/2972-5a7e3f0e280f8004.js","5878","static/chunks/5878-f675d7a8f5ca35db.js","2641","static/chunks/app/(main)/category/%5Bslug%5D/page-eb84a4b8186a0c11.js"],"default"] 14:T51e,

Python List Comprehensions and Generators

Master Python list comprehensions and generators for efficient, readable code.

List Comprehensions

Basic Syntax

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

# List comprehension
squares = [x**2 for x in range(10)]

With Condition

even_squares = [x**2 for x in range(10) if x % 2 == 0]

Nested Comprehensions

matrix = [[i*j for j in range(3)] for i in range(3)]

Generators

Generator Expressions

squares_gen = (x**2 for x in range(10))
for square in squares_gen:
    print(square)

Generator Functions

def fibonacci():
    a, b = 0, 1
    while True:
        yield a
        a, b = b, a + b

Benefits

Memory Efficient: Generators don't store all values
Readable: More concise than loops
Fast: Optimized for performance
Pythonic: Follows Python best practices

When to Use

List comprehensions for small datasets
Generators for large datasets or infinite sequences
Both for cleaner, more readable code

15:T491,

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and versatility. It was created by Guido van Rossum and first released in 1991.

Key Features

Simple Syntax: Easy to read and write
Versatile: Used in web development, data science, AI, automation
Large Standard Library: Rich set of modules and packages
Cross-platform: Runs on Windows, macOS, Linux

Python

Python List Comprehensions and Generators

What is Python and Why is it Popular?