Y our Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical .guide helps you gain a deeper understanding of Python’s implementation You’ll learn how to locate performance bottlenecks and significantly speed .up your code in high-data-volume programs ?How can you take advantage of multi-core architectures or clusters ?Or build a system that can scale up and down without losing reliability E ...