This workshop teaches practical parallel programming in Python through real-world examples. You'll learn when and how to use different parallelization approaches, understand their performance ...

To help you, a guide in tutorial/python_multiprocessing.py has been provided that can help supplement the course material. You may be able to adapt the example code for your implementation of ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...