GitHub repository for participants of the "Python for data science" training. For information on the training, see the website https://gjbex.github.io/Python-for-data-science/

1. python_for_data_science.pptx: PowerPoint presentation used for the training.
2. hands-on: Jupyter notebooks for hands-on sessions.
3. source-code: sample code written to develop the slides and illustrate concepts.
4. environment.yml: conda environment file intended to be cross-platform.
5. python_for_data_science_linux64_conda_specs.txt: conda environment specification file specific for 64-bit Linux to precisely reproduce the environment on which the code was developed.
6. License: license information for the material in this repository.
7. Contributing: information on how to contribute to this repository.
8. docs: directory containing the website for this repository.
9. Code of conduct: when participating in this training you accept to abide by the code of conduct.