- Preprocessing
- Descriptive analysis
- Statisctical analysis
- Clusterization
- Classification
- NumPy
- SciPy
- Pandas
- Scikit-learn
- Matplotlib
- Statsmodels
-
Create virtualenv
$ virtualenv your-venv --no-site-packages -
Activate virtualenv
$ source your-venv/bin/activate -
Install jupyter in the virtualenv
(your-venv)$ pip install jupyter -
Add the virtualenv as a jupyter kernel
(your-venv)$ ipython kernel install --name "your-venv" --user -
List available kernels
(your-venv)$ jupyter kernelspec list -
Check if
kernel.jsonfile 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