November 2018
Intermediate to advanced
446 pages
12h 11m
English
Overview
Mastering Concurrency in Python provides a comprehensive guide to harnessing the power of Python for concurrent and parallel programming. You'll explore key concepts such as multithreading, asynchronous programming, and the effective use of Python's concurrency features to construct high-performance and scalable applications. Through practical examples, you'll gain the knowledge to address real-world challenges in concurrency.
What this Book will help me do
- Understand core concepts of concurrency and their implementation with Python.
- Learn to use Python features like multithreading and multiprocessing effectively.
- Master advanced concurrency topics like the Global Interpreter Lock (GIL).
- Develop skills to handle common concurrency issues like deadlock and race conditions.
- Build robust, high-performance applications with scalable architectures.
Author(s)
Quan Nguyen, the author of Mastering Concurrency in Python, has a strong background in software engineering with extensive expertise in Python programming. He possesses significant experience in developing high-performance systems and writing technical guides. His passion for teaching and practical approach to explaining concepts make his writing comprehensive and approachable.
Who is it for?
This book is perfect for software developers and Python programmers who are interested in creating high-performance applications. It is geared towards those with some familiarity with Python who wish to deepen their understanding of concurrency programming. If your goal is to explore multithreading, multiprocessing, and asynchronous programming to grow professionally or solve specific programming challenges, this book is for you.
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