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A pipenv template with Jupyter and popular data science libraries (sklearn, pandas, seaborn, xgboost)

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Basic Data Science Environment

For use with Pipenv and Jupyter.

It creates a local dir .venv with the installed libraries.

To install packages in Pipfile:

./install.sh

To install new Python packages:

./install.sh <name-of-package>

Run once, after installing Jupyter:

./name-jupyter-kernel.sh <your-kernel-name-here>

Start Jupyter Notebook with:

./run-jupiter.sh

Then go to "Change Kernel -> "

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A pipenv template with Jupyter and popular data science libraries (sklearn, pandas, seaborn, xgboost)

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