Nguyen - Mastering Concurrency in Python

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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.com (part of Oracle).

Romain Picard is currently a data science engineer. He has been working in the digital TV and telecommunications industry for 20 years. His daily work consists of data manipulation, machine learning model training, and model deployment. Most of these tasks are based on Python code.

He was previously a media software architect and a software developer. In these previous positions, he designed and developed TV and OTT players that have been used in millions of set-top boxes. Romain is especially interested in algorithms, and is constantly hunting for the most effective algorithm for each given use case.

Yogendra Sharma is a developer with experience of the architecture, design, and development of scalable and distributed applications. He was awarded a bachelor's degree from Rajasthan Technical University in computer science. With a core interest in
microservices and Spring, he also has hands-on experience with technologies such as AWS Cloud, Python, J2EE, Node.js, JavaScript, Angular, MongoDB, and Docker. Currently, he works as an IoT and cloud architect at Intelizign Engineering Services, Pune.

Simone Marzola is a software engineer and technical lead with 10 years of experience. He is passionate about Python and machine learning, which have led him to be an active contributor in open source communities such as Mozilla Services and the Pylons Project, as well as involvement in European conferences as a speaker. Simone has been a lecturer on the BIG DIVE data science and machine learning course. He is currently a CTO and Scrum Master at Oval Money.

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Concurrency can be notoriously difficult to get right, but fortunately, the Python programming language makes working with concurrency tractable and easy. This book shows how Python can be used to program high-performance, robust, concurrent programs with its unique form of programming.

Designed for any curious developer with an interest in building fast, non-blocking, and resource-thrifty systems applications, this book will cover the best practices and patterns to help you incorporate concurrency into your systems. Additionally, emerging topics in Python concurrent programming will be discussed, including the new AsyncIO syntax, the widely accepted view that "locks don't lock anything," the use of atomic message queues, concurrent application architecture, and best practices.