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Can I read Python Parallel Programming Cookbook : Master Efficient Parallel Programming to Build Powerful Applications Using Python on EtoBox?

Python Parallel Programming Cookbook : Master Efficient Parallel Programming to Build Powerful Applications Using Python by Zaccone, Giancarlo is a nonfiction available to read on EtoBox.

What is Python Parallel Programming Cookbook : Master Efficient Parallel Programming to Build Powerful Applications Using Python about?

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

Who reads Python Parallel Programming Cookbook : Master Efficient Parallel Programming to Build Powerful Applications Using Python?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Zaccone, Giancarlo
Publisher
Packt Publishing, Limited
Published
2015
Language
EN
ISBN
9781785289583
Category
nonfiction
Subjects
Computer Science, Language Learning, Science

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