Your 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
Experienced Python programmers will learn concrete solutions to these
and other issues, along with war stories from companies that use high
performance Python for social media analytics, productionized machine
learning, and other situations
Micha Gorelick & Ian Ozsvald
High Performance Python