Python Performance Optimization

Profiling and optimization patterns for Python code.

Table of Contents

1. Quick Start

Quick Start

# Basic timing
import timeit

time = timeit.timeit("sum(range(1000000))", number=100)
print(f"Average: {time / 100:.6f}s")

Verification: Run the command with --help flag to verify availability.

When To Use