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Parallel Programming with Python Tutorial

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

Outline and Overview

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

Modules and tools

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

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