Learning Concurrency in Python

Practically and deeply understand concurrency in Python to write efficient programs About This BookBuild highly efficient, robust, and concurrent applicationsWork through practical examples that will help you address the challenges of writing concurrent codeImprove the overall speed of execution in multiprocessor and multicore systems and keep them highly availableWho 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 LearnExplore the concept of threading and multiprocessing in PythonUnderstand concurrency with threadsManage exceptions in child threadsHandle the hardest part in a concurrent system — shared resourcesBuild concurrent systems with Communicating Sequential Processes (CSP)Maintain all concurrent systems and master themApply reactive programming to build concurrent systemsUse GPU to solve specific problemsIn 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. We'll 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. We'll cover concepts such as debugging and exception handling as well as some of the most popul

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