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Learning Concurrency in Python

Learning Concurrency in Python

          
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About the Book

Practically and deeply understand concurrency in Python to write efficient programs About This Book * Build highly efficient, robust, and concurrent applications * Work through practical examples that will help you address the challenges of writing concurrent code * Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Who This Book Is For This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts. What You Will Learn * Explore the concept of threading and multiprocessing in Python * Understand concurrency with threads * Manage exceptions in child threads * Handle the hardest part in a concurrent system - shared resources * Build concurrent systems with Communicating Sequential Processes (CSP) * Maintain all concurrent systems and master them * Apply reactive programming to build concurrent systems * Use GPU to solve specific problems In Detail Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. Well cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. Well cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, youll have learned the techniques to write incredibly efficient concurrent systems that follow best practices. Style and approach This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.

About the Author

Elliot Forbes has been working full time as a Software Engineer at JPMorgan Chase for the past 2 years. Before that, he worked freelance developing web solutions for several years while studying at University and graduated from the University of Strathclyde in Scotland in the Spring of 2015. He has worked on numerous different technologies from the likes of GoLang, NodeJS to plain old Java and has numerous years working on concurrent enterprise systems. It is with this experience he was able to write this book. He has previously worked at Barclays Investment Bank for a Summer Internship down in London and he has been maintaining a couple of software development websites for the past 3 years now.


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Product Details
  • ISBN-13: 9781787285378
  • Publisher: Packt Publishing
  • Publisher Imprint: Packt Publishing
  • Height: 235 mm
  • No of Pages: 360
  • Spine Width: 19 mm
  • Width: 191 mm
  • ISBN-10: 1787285375
  • Publisher Date: 16 Aug 2017
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 621 gr


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