gridl / ComputationalPhysicsUnit

Jupyter Notebooks and Other Materials Used in Teaching Computational Physics

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Computational Physics Unit

Content developed/modified for Portsmouth University, 2nd year Computational Physics Unit. Six lectures (python).

Text Book: Newman, M., Computational Physics - Revised and Expanded, [2013] Some Chapters available to download from: http://www-personal.umich.edu/~mejn/computational-physics/

  • Tips for getting the most out of Computational Physics unit. Why people chose different languages. (e.g why we’re doing Python). Introduction to Python programming in general, and specifically in Portsmouth.
  • More introduction to python - lists and arrays. User defined functions.
  • Graphics and visualization with python.
  • Stochastic methods (in python)
  • Stochastic methods (in python)
  • Monte Carlo Simulations (in python; lab not done in 2017)

For those interested - a really nice Markdown Cheat Sheet can be found at https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#code

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Jupyter Notebooks and Other Materials Used in Teaching Computational Physics

License:Apache License 2.0


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