Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features
1,700 139 5MB
English Pages 370 Year 2019
Table of contents :
1. Getting Started with Parallel Computing and Python
2. Thread-based Parallelism
3. Process-based Parallelism
4. Message Passing
5. Asynchronous Programming
6. Distributed Python
7. Cloud Computing
8. Heterogeneous Computing
9. Python Debugging and Testing