https://github.com/gjbex/python-for-data-science

Repository for participants of the "Python for data science" training
https://github.com/gjbex/python-for-data-science

bokeh dashboards data-science data-visualization geopandas holoviews information-visualization pandas pandas-tutorial panel python python-training seaborn streamlit training visualization

Last synced: about 1 month ago
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Repository for participants of the "Python for data science" training

• Host: GitHub
• URL: https://github.com/gjbex/python-for-data-science
• Owner: gjbex
• License: cc-by-4.0
• Created: 2019-11-13T15:29:54.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-11-18T09:55:27.000Z (about 1 month ago)
• Last Synced: 2024-11-18T10:59:57.575Z (about 1 month ago)
• Topics: bokeh, dashboards, data-science, data-visualization, geopandas, holoviews, information-visualization, pandas, pandas-tutorial, panel, python, python-training, seaborn, streamlit, training, visualization
• Language: Jupyter Notebook
• Homepage: https://gjbex.github.io/Python-for-data-science/
• Size: 28.5 MB
• Stars: 17
• Watchers: 4
• Forks: 19
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# 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/](https://gjbex.github.io/Python-for-data-science/)

## What is it?

1. [`python_for_data_science.pptx`](python_for_data_science.pptx): PowerPoint

   presentation used for the training.

1. [`hands-on`](hands-on): Jupyter notebooks for hands-on sessions.

1. [`source-code`](source-code): sample code written to develop the slides and

   illustrate concepts.

1. [`environment.yml`](environment.yml): conda environment file intended to be

   cross-platform.

1. [`python_for_data_science_linux64_conda_specs.txt`](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.

1. [License](LICENSE): license information for the material in this repository.

1. [Contributing](CONTRIBUTING.md): information on how to contribute to this

   repository.

1. docs: directory containing the website for this repository.

1. [Code of conduct](CODE_OF_CONDUCT.md): when participating in this training

   you accept to abide by the code of conduct.