LeoPAllen / data-science-base

Boilerplate For Data Science Projects

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data-science-base

A base repo for data science projects. Clone this repo and change the its name (and its remotes) to start a new datascience project. Change your README before pushing unless you want to look very silly. Change the conda enviroment name in environment.yml before creating a new virtual environment. Add packages needed for for specific projects to the version of environment.yaml in the renamed repo.

Run The Following To Build A New Environment:
conda env create -f=environment.yml
Run The Following To Update An Environment:
conda env update -f=environment.yml
Create Kernel For IPython & Jupyter:
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"
Create a .env File With Environment Variables By Running The Following:
nano .env

Make sure .env is on your global .gitignore file in your home directory and has been added to your global exclusions.

Activate Environment By Running:
conda activate your_environment_name

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Boilerplate For Data Science Projects


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