Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using PythonAbout This Book- Design and implement efficient parallel software- Master new programming techniques to address and solve complex programming problems- Explore ...

Python Parallel Programming Cookbook

Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using PythonAbout This Book• Design and implement efficient parallel software• Master new programming techniques to address and solve complex programming problems• Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depthWho This Book Is ForPython Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing.What You Will Learn• Synchronize multiple threads and processes to manage parallel tasks• Implement message passing communication between processes to build parallel applications• Program your own GPU cards to address complex problems• Manage computing entities to execute distributed computational tasks• Write efficient programs by adopting the event-driven programming model• Explore the cloud technology with DJango and Google App Engine• Apply parallel programming techniques that can lead to performance improvementsIn DetailThis book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool.Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker.You will understand anche Pycsp, the Scoop framework, and disk modules in Python. Further on, you will learnGPU programming withPython using the PyCUDA module along with evaluating performance limitations.Style and approachA step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts.

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Parallel Programming with Python
Language: en
Pages: 124
Authors: Jan Palach
Categories: Computers
Type: BOOK - Published: 2014-04-24 - Publisher: Packt Pub Limited

A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world.If you are an experienced Python programmer and are
Python Parallel Programming Cookbook
Language: en
Pages: 286
Authors: Giancarlo Zaccone
Categories: Computers
Type: BOOK - Published: 2015-08-26 - Publisher: Packt Publishing Ltd

Master efficient parallel programming to build powerful applications using Python About This Book Design and implement efficient parallel software Master new programming techniques to address and solve complex programming problems Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing
Parallel Programming with Python
Language: en
Pages: 122
Authors: Jan Palach
Categories: Computers
Type: BOOK - Published: 2014-12-12 - Publisher: CreateSpace

Develop efficient parallel systems using the robust Python environment Overview Demonstrates the concepts of Python parallel programming Boosts your Python computing capabilities Contains easy-to-understand explanations and plenty of examples In Detail Starting with the basics of parallel programming, you will proceed to learn about how to build parallel algorithms and
Python Parallel Programming Cookbook - Second Edition
Language: en
Pages: 370
Authors: Giancarlo Zaccone
Categories: Computers
Type: BOOK - Published: 2019 - Publisher:

Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features Design distributed computing systems and massive computational tasks coherently Learn practical recipes with concise explanations that address development pain points encountered while coding parallel programs Understand how to host your parallelized applications on
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Language: en
Pages: 310
Authors: Dr. Brian Tuomanen
Categories: Computers
Type: BOOK - Published: 2018-11-27 - Publisher: Packt Publishing Ltd

Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key Features Expand your background in GPU programming—PyCUDA, scikit-cuda, and Nsight Effectively use CUDA

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