EBOOK
About
Harness the power of multiple computers using Python through this fast-paced informative guide
This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.
CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.
This example based, step-by-step guide will show you how to make the best of your hardware configuration using Python for distributing applications.
This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.
CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.
This example based, step-by-step guide will show you how to make the best of your hardware configuration using Python for distributing applications.