By Francesco Pierfederici
ISBN-10: 1785889699
ISBN-13: 9781785889691
Key Features
- You'll discover ways to write facts processing courses in Python which are hugely on hand, 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
Book Description
CPU-intensive information processing projects became the most important contemplating the complexity of some of the large info purposes which are used this day. decreasing the CPU usage in keeping with approach is essential to enhance the final velocity of applications.
This publication will train you the way to accomplish parallel execution of computations by means of dispensing them throughout a number of processors in one desktop, hence enhancing the general functionality of a large info processing job. we are going to conceal synchronous and asynchronous types, shared reminiscence and dossier platforms, conversation among a variety of tactics, synchronization, and more.
What you are going to Learn
- Get an creation 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 allotted 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 equipped huge disbursed structures that utilize tens of millions of cores at a time and run on a number of the quickest supercomputers on the earth. He has additionally written loads of functions of doubtful usefulness yet which are nice enjoyable. in most cases, he simply loves to construct things.
Table of Contents
- An advent to Parallel and disbursed Computing
- Asynchronous Programming
- Parallelism in Python
- Distributed functions – with Celery
- Python within the Cloud
- Python on an HPC Cluster
- Testing and Debugging dispensed Applications
- The street Ahead
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Distributed Computing with Python by Francesco Pierfederici
by Kenneth
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