A one-hour introduction to ObsPy is available at YouTube.

This tutorial does not attempt to be comprehensive and cover every single feature. Instead, it introduces many of ObsPy’s most noteworthy features, and will give you a good idea of the library’s flavor and style.

A Chinese translation of the tutorial (as of 2020-04-12) is available here.

There are also IPython notebooks available online with an introduction to Python (with solutions/output), an introduction to ObsPy split up in multiple chapters (again, versions with/without solutions available) and a brief primer on data center access and visualization with ObsPy. There are also nice Jupyter notebooks with an introduction to matplotlib.

Introduction to ObsPy

Advanced Exercise

In the advanced exercise we show how ObsPy can be used to develop an automated processing workflow. We start out with very simple tasks and then automate the routine step by step. For all exercises solutions are provided.