By Jan Palach
About This Book
- Demonstrates the options of Python parallel programming
- Boosts your Python computing capabilities
- Contains easy-to-understand reasons and lots of examples
Who This booklet Is For
If you're an skilled Python programmer and are prepared to make use of the on hand computing assets by way of parallelizing functions in an easy manner, then this booklet is for you. you're required to have a uncomplicated wisdom of Python improvement to get the main of this book.
What you'll Learn
- Explore strategies to parallelize problems
- Integrate the Parallel Python module to enforce Python code
- Execute parallel strategies on basic problems
- Achieve verbal exchange among tactics utilizing Pipe and Queue
- Use Celery allotted activity Queue
- Implement asynchronous I/O utilizing the Python asyncio module
- Create thread-safe structures
Starting with the fundamentals of parallel programming, you'll continue to profit approximately tips to construct parallel algorithms and their implementation. you'll then achieve the services to guage challenge domain names, determine if a selected challenge might be parallelized, and the way to take advantage of the Threading and Multiprocessor modules in Python.
The Python Parallel (PP) module, that's one other mechanism for parallel programming, is roofed extensive that can assist you optimize using PP. additionally, you will delve into utilizing Celery to accomplish dispensed projects successfully and simply. additionally, you'll find out about asynchronous I/O utilizing the asyncio module. ultimately, by means of the tip of this publication you are going to gather an in-depth knowing approximately what the Python language has to provide when it comes to integrated and exterior modules for a good implementation of Parallel Programming.
This is a definitive consultant that might train you every thing you want to be aware of to boost and retain high-performance parallel computing structures utilizing the feature-rich Python.
Read Online or Download Parallel Programming with Python PDF
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Additional info for Parallel Programming with Python
Parallel Programming with Python by Jan Palach