330× faster: Four different ways to speed up your code

Demonstrates four distinct practices for speeding up Python code through a letter frequency counting example: Efficiency (eliminating wasteful calculations), Compilation (using Rust), Parallelism (utilizing multiple CPU cores), and Process (proper measurement and testing). Shows how combining these approaches can achieve a 330× speedup, with each practice providing multiplicative performance gains when applied together.