This repository stores all of the python examples (.py), data (.csv,.nc), and jupyter notebooks (.ipynb) used in the course. The python examples and their data can just be downloaded or run on Google's Colaboratory.
Code was written on an iMac using python 3.7.
conda create --name env-655-sp22 python=3.7
conda activate env-655-sp22
pip install tensorflow==2.7.0
pip install tensorflow-probability==0.15.0
pip install --upgrade numpy scipy pandas statsmodels matplotlib seaborn
pip install --upgrade palettable progressbar2 tabulate icecream flake8
pip install --upgrade keras-tuner
pip install --upgrade sklearn # best practice pip install -U scikit-learn
pip install --upgrade jupyterlab black isort jupyterlab_code_formatter
pip install silence-tensorflow
pip install tqdm pydot
pip install graphviz
conda install -c conda-forge pymc3
pip install MiniSom
conda install -c conda-forge scikit-imageconda
conda install -c conda-forge cmocean cartopy
The majority of the materials were created by Dr. Elizabeth A. Barnes, while additional collaborators are specified in the code when relevant.
This project is licensed under an MIT license.
MIT © Elizabeth A. Barnes