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- Python
- Learning Concurrency in Python. Build highly efficient, robust, and concurrent applications
E-book details
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Learning Concurrency in Python. Build highly efficient, robust, and concurrent applications
Ebook
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.
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.
- 1. Speed It Up!
- 2. How About Parallel It?
- 3. Life of Thread
- 4. Synchronization Between Threads
- 5. Communication Between Threads
- 6. Debug and Benchmark Threads
- 7. Executors and Pools
- 8. Multiprocessing
- 9. Event-driven Programming
- 10. Reactive Programming
- 11. Using GPU
- 12. Choosing a Solution
- Title: Learning Concurrency in Python. Build highly efficient, robust, and concurrent applications
- Author: Elliot Forbes
- Original title: Learning Concurrency in Python. Build highly efficient, robust, and concurrent applications
- ISBN: 9781787283169, 9781787283169
- Date of issue: 2017-08-16
- Format: Ebook
- Item ID: e_15o3
- Publisher: Packt Publishing