Distributed Computing with Python

Harness the power of multiple computers using Python through this fast-paced informative guide About This Book • You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant • Make use of Amazon Web Services along with Python to establish a powerful remote computation system • Train Python to handle data-intensive and resource hungry applications Who This Book Is For 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. What You Will Learn • Get an introduction to parallel and distributed computing • See synchronous and asynchronous programming • Explore parallelism in Python • Distributed application with Celery • Python in the Cloud • Python on an HPC cluster • Test and debug distributed applications In Detail CPU-intensive data processing tasks have become crucial considering the