Master effective parallel programming to construct robust functions utilizing Python
About This Book
- Design and enforce effective parallel software
- Master new programming concepts to handle and clear up advanced programming problems
- Explore the realm of parallel programming with this ebook, that's a go-to source for different
- kinds of parallel computing initiatives in Python, utilizing examples and subject matters lined in nice depth
Who This booklet Is For
Python Parallel Programming Cookbook is meant for software program builders who're good versed with Python and wish to take advantage of parallel programming recommendations to put in writing strong and effective code. This e-book may also help you grasp the fundamentals and the complicated of parallel computing.
What you'll Learn
- Synchronize a number of threads and approaches to regulate parallel tasks
- Implement message passing conversation among procedures to construct parallel applications
- Program your personal GPU playing cards to deal with complicated problems
- Manage computing entities to execute dispensed computational tasks
- Write effective courses via adopting the event-driven programming model
- Explore the cloud know-how with DJango and Google App Engine
- Apply parallel programming concepts which can bring about functionality improvements
This booklet will educate you parallel programming recommendations utilizing examples in Python and may assist you discover the various ways that you could write code that permits a couple of method to ensue without delay. beginning with introducing you to the realm of parallel computing, it strikes directly to hide the basics in Python. this can be via exploring the thread-based parallelism version utilizing the Python threading module by means of synchronizing threads and utilizing locks, mutex, semaphores queues, GIL, and the thread pool.
Next you can be taught approximately process-based parallelism the place you'll synchronize methods utilizing message passing in addition to studying concerning the functionality of MPI Python Modules. you'll then move directly to examine the asynchronous parallel programming version utilizing the Python asyncio module in addition to dealing with exceptions. relocating on, you will find dispensed computing with Python, and the right way to set up a dealer, use Celery Python Module, and create a worker.
You will comprehend anche Pycsp, the news framework, and disk modules in Python. extra on, you are going to examine GPU programming with Python utilizing the PyCUDA module in addition to comparing functionality limitations.
Style and approach
A step by step consultant to parallel programming utilizing Python, with recipes followed via a number of programming examples. it's a virtually orientated e-book and has the entire priceless underlying parallel computing concepts.