Project Hopper Data Science Container

This container image is based on the Jupyter SciPy Notebook environment created by the Project Jupyter team.

We have added required packages for use with the textbook Principles and Techniques of Data Science by Lau, Gonzalez and Nolan and its associated Github Repo.

This container provides many popular Python packages for working with and modeling data, including:

• pandas
• NumPy
• scikit-learn
• Matplotlib
• SQLAlchemy
• seaborn

and those listed in the requirements file and in the Dockerfile.

Usage Notes

This container is powered by Conda and Mamba for managing Python environments.

Running Jupyter Notebook Cells

To run cells in a Jupyter Notebook, select the Python kernel associated with the base Conda environment, which has the following file path:

/opt/conda/bin/python

Installing Additional Packages

If there are extra packages you would like to install for your own use, you can use the command mamba install.

If the course is missing required packages, please let your instructor know or contact the project maintainers.