MIT-licensed tutorials related to Python and Python data analysis libraries.
The first set of tutorials is purely related to Python:
- Python Tutorials
- 101: Python for Newbies
- 201: Python for Devs (Part 1)
- 202: Python for Devs (Part 2)
Videos of these Python tutorials and the instructions for setting up your environment to execute the presentation are found here here. These Python tutorials unsurprisingly require Python, which is available for free via Python.org.
The second set of tutorials is related to Python data analysis libraries and processing data via Jupyter:
- Journeys in Jupyter
- 101: Python Data Ecosystem View on NBViewer
- 104: Pandas Series Part 1 View on NBViewer
- 201: Cleaning Data View on NBViewer
- 202: Basic Automation View on NBViewer
- 203: Basic Machine Learning View on NBViewer
Videos of the Jupyter tutorials and instructions for setting up your environment are found here. These tutorials require the Jupyter notebook, which can be most easily be downloaded for free via Anaconda.org.