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For the American author Alexander Wheelock Thayer (1817 97), it represented a lifelong labour of love, yet it remained unfinished at his death. His friend Hermann Deiters (1833 1907) edited and translated Thayer's work into German, publishing three volumes which covered Beethoven's life to 1816. Since Deiters also died before the biography could be completed, musicologist Hugo Riemann (1849 1919) was called upon to conclude the work. The final German volumes appeared in 1907 and 1908. It was the American critic Henry Edward Krehbiel (1854 1923) who prepared the present work, the first and considerably revised English version, published in three volumes in 1921. 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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. 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