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