Learning concurrency in Python : speed u
β Elliot Forbes
π Library
π
2017
π Packt Publishing
π English
β¦ LIBER β¦
π
Learning concurrency in Python speed up your Python code with clean, readable, and advanced concurrency techniques
β Scribed by Forbes, Elliot
- Publisher
- Packt Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 353
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Subjects
Application software--Development;Python (Computer program language);Livres Γ©lectroniques;Application software -- Development
π SIMILAR VOLUMES
Learning concurrency in Python speed up
β Forbes, Elliot
π Library
π
2017
π Packt Publishing
π English
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 an
Learning concurrency in Python speed up
β Forbes, Elliot
π Library
π
2017
π Packt Publishing
π English
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 an
Learning Concurrency in Python
β Elliot Forbes
π Library
π
2017
π Packt Publishing
π English
<h4>Key Features</h4><ul><li>Build highly efficient, robust, and concurrent applications</li><li>Work through practical examples that will help you address the challenges of writing concurrent code</li><li>Improve the overall speed of execution in multiprocessor and multicore systems and keep them h
Learning Concurrency in Python
β Elliot Forbes
π Library
π
2017
π Packt
π English
Learning Concurrency in Python: Build hi
β Elliot Forbes
π Library
π
2017
π Packt Publishing
π English
<h4>Key Features</h4><ul><li>Build highly efficient, robust, and concurrent applications</li><li>Work through practical examples that will help you address the challenges of writing concurrent code</li><li>Improve the overall speed of execution in multiprocessor and multicore systems and keep them h