Lectures on Python

A set of lectures on computing with Python, using Jupyter notebooks. To install Jupyter on your computer, please follow these instructions.

To open these notebooks in Jupyter, download the files or git clone this repository to a directory on your computer, and from that directory run:

$ jupyter notebook

This will open a new page in your browser with a list of the available notebooks.

Online read-only versions

• 0. Introduction to Python
• 1. Basic Python
• 2. NumPy
• 3. MatPlotLib
• 4. Pandas
• 5. Scikit-Learn

Online executable versions

• 0. Introduction to Python
• 1. Basic Python
• 2. NumPy
• 3. MatPlotLib
• 4. Pandas
• 5. Scikit-Learn

Exercises

Here you will find some programming exercises with their solution collected from different sources on the Web. Solutions have not been exahustively tested. Feel free to report any correction.

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

Some of the contents are derived from the excellent Python notebooks by J. R. Johansson, originally available here