Mastering Concurrency in Python: Create faster programs using concurrency, asynchronous, multithreading, and parallel programming
Author:   Quan Nguyen
Publisher:   Packt Publishing Limited
ISBN:  

9781789343052


Pages:   446
Publication Date:   27 November 2018
Format:   Paperback
Availability:   Available To Order   Availability explained
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Mastering Concurrency in Python: Create faster programs using concurrency, asynchronous, multithreading, and parallel programming


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Author:   Quan Nguyen
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789343052


ISBN 10:   1789343054
Pages:   446
Publication Date:   27 November 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Concurrent and Parallel Programming - An Advanced Introduction Amdahl's Law Working with Threads in Python Using the `with' Statement in Threads Concurrent Web Scraping Working with Processes in Python The Reduction Operation in Processes Concurrent Image Processing Introduction to Asynchronous I/O Asyncio: Pros and Cons TCP with Asyncio Deadlock Starvation Race Conditions The Global Interpreter Lock Designing Lock-Free and Lock-Based Concurrent Data Structures Memory Models and Operations on Atomic Types Building a Server from Scratch Testing, Debugging, and Scheduling Concurrent Applications

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Author Information

Quan Nguyen is a Python enthusiast and data scientist. He is currently a data analysis engineer at Micron Technology, Inc. With a strong background in mathematics and statistics, Quan is interested in the fields of scientific computing and machine learning. With data analysis being his focus, Quan also enjoys incorporating technology automation into everyday tasks through programming. Quan's passion for Python programming has led him to be heavily involved in the Python community. He started as a primary contributor for the book Python for Scientists and Engineers and various open source projects on GitHub. Quan is also a writer for the Python Software Foundation and an occasional content contributor for DataScience (part of Oracle).

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