- Preprocessing
- Descriptive analysis
- Statisctical analysis
- Clusterization
- Classification
- NumPy
- SciPy
- Pandas
- Scikit-learn
- Matplotlib
- Statsmodels
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Create virtualenv
$ virtualenv your-venv --no-site-packages
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Activate virtualenv
$ source your-venv/bin/activate
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Install jupyter in the virtualenv
(your-venv)$ pip install jupyter
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Add the virtualenv as a jupyter kernel
(your-venv)$ ipython kernel install --name "your-venv" --user
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List available kernels
(your-venv)$ jupyter kernelspec list
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Check if
kernel.json
file in your kernel directory contains correct path to your virtualenv python executable (/path/to/your-env/bin/python3.6) -
You can now select the created kernel your-env when you start Jupyter