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 -->
2. 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`