Parallel Programming with Python

Table of Contents

1. Contextualizing Parallel, Concurrent and Distributed Programming
2. Identifying if a problem can be parallelizable
3. Using Threading Module
4. Using Multiprocessing Module
5. Using Python Parallel Module
6. Distributing tasks with Celery
7. Making Things Asynchronously
8. Building your own thread-safe structures