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Python Parallel Programming Cookbook (Paperback)
Loot Price: R1,419
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Python Parallel Programming Cookbook (Paperback)
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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 tasks in Python, using
examples and topics covered in great depth Who This Book Is For
Python 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 improvements In Detail This 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 approach A 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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