By Francesco Pierfederici
- You'll learn how to write info processing courses in Python which are hugely to be had, trustworthy, and fault tolerant
- Make use of Amazon net providers besides Python to set up a robust distant computation system
- Train Python to deal with data-intensive and source hungry applications
CPU-intensive information processing initiatives became the most important contemplating the complexity of a number of the large information purposes which are used this present day. lowering the CPU usage in step with procedure is essential to enhance the final velocity of applications.
This booklet will train you the way to accomplish parallel execution of computations via dispensing them throughout a number of processors in one computing device, hence enhancing the final functionality of a large information processing job. we are going to conceal synchronous and asynchronous types, shared reminiscence and dossier platforms, conversation among a variety of methods, synchronization, and more.
What you'll Learn
- Get an advent to parallel and allotted computing
- See synchronous and asynchronous programming
- Explore parallelism in Python
- Distributed program with Celery
- Python within the Cloud
- Python on an HPC cluster
- Test and debug disbursed applications
About the Author
Francesco Pierfederici is a software program engineer who loves Python. He has been operating within the fields of astronomy, biology, and numerical climate forecasting for the final 20 years.
He has outfitted huge allotted structures that utilize tens of millions of cores at a time and run on many of the quickest supercomputers on the planet. He has additionally written loads of purposes of doubtful usefulness yet which are nice enjoyable. generally, he simply loves to construct things.
Table of Contents
- An advent to Parallel and allotted Computing
- Asynchronous Programming
- Parallelism in Python
- Distributed functions – with Celery
- Python within the Cloud
- Python on an HPC Cluster
- Testing and Debugging disbursed Applications
- The street Ahead
Read Online or Download Distributed Computing with Python PDF
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Extra resources for Distributed Computing with Python
I would like to thank my wife, Alicia, for her unreasonable patience during the gestation of this book. I would also like to thank Parshva Sheth and Aaron Lazar at Packt Publishing and the technical reviewer, James King, who were all instrumental in making this a better book. About the Reviewer James King is a software developer with a broad range of experience in distributed systems. He is a contributor to many open source projects including OpenStack and Mozilla Firefox. He enjoys mathematics, horsing around with his kids, games, and art.
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