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Python Data Science Tutorial Materials

Requirements

  • Python 3
  • Python modules as listed in requirements.txt

Included Data

  • iris.csv is the widely used "iris" sample dataset
  • iris_missing.csv is a custom modification of that dataset for instruction on handling missing and messy data

Instructions

Beginners

To run the notebook within your browser (no installation needed), click the following buttons:

  1. Data Science Notebook --> Data Science Notebook
  2. Appendix --> Appendix

Advanced Users (cloning from git, running locally)

  1. Clone or download this repository locally and change into the repository directory

  2. Install the required packages

    pip3 install -r requirements.txt

  3. Launch the Jupyter notebook

     `jupyter notebook Python_Data_Science.ipynb`