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Python for data science

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/

What is it?

  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.