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Learning Concurrency in Python (Paperback)
Loot Price: R1,237
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Learning Concurrency in Python (Paperback)
Expected to ship within 10 - 15 working days
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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. 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 popular libraries and frameworks that
allow you to create event-driven and reactive systems. By the end
of the book, you'll 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.
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