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README.md

pp4pp

Repository of content for my Talk Python Performance for Plants and Profit To be held at Tübix 2018

Progressive Approach

  • step0 (py and ipynb) : Initial Code
  • step1 (py and ipynb) : Vector Code for numpy
  • step2 (py and ipynb) : Minor updates
  • step0-cython.ipynb (standalone in cython) : Cython Approach
  • step2-numba (py and ipynb) : Numba Approach
  • c/implementation (Initial Code in C and postprocessor)

Note to self

Run ipynb jupyter notebook or jupyter nbconvert --to html --execute file.ipynb

Clean up ipynb files: jupyter nbconvert --to notebook --ClearOutputPreprocessor.enabled=True --output=new.ipynb file.ipynb

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Repository of content for my Talk Python Performance for Plants and Profit

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