This is a tutorial introducing parallel programming concepts and their implementation in Python.

• Introduction to parallel concepts
• Classes of parallel problems
• Python implementations of parallel processesing
• Tools for further exploration

• Language: Python 3.8
• Modules: pandas, numpy, multiprocessing, PIL (for imamge processing), mpi4py, matplotlib, cupy (for GPU parallelism)
• Jupyter notebook