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Python Parallel Programming Cookbook

You're reading from Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

Product type Paperback

Published in Aug 2015

Publisher

ISBN-13 9781785289583

Length 286 pages

Edition 1st Edition

Languages

Python

Concepts

Parallel Programming

Author (1):

Giancarlo Zaccone

View More author details

Table of Contents (8) Chapters

Preface

1. Getting Started with Parallel Computing and Python

2. Thread-based Parallelism FREE CHAPTER

3. Process-based Parallelism

4. Asynchronous Programming

5. Distributed Python

6. GPU Programming with Python

Index

Chapter 2. Thread-based Parallelism

In this chapter, we will cover the following recipes:

How to use the Python threading module
How to define a thread
How to determine the current thread
How to use a thread in a subclass
Thread synchronization with Lock and RLock
Thread synchronization with semaphores
Thread synchronization with a condition
Thread synchronization with an event
How to use the with statement
Thread communication using a queue
Evaluating the performance of multithread applications
The criticality of multithreaded programming

You have been reading a chapter from

Python Parallel Programming Cookbook

Published in: Aug 2015

Publisher:

ISBN-13: 9781785289583

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Authors (1)

Zaccone

Zaccone

Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems. Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing. Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).

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