View Our Coding Tutorials Online

Many of our coding tutorials are available in this repository. For the quickest, zero-setup experience, open them in Google Colab using the “Open in Colab” links.

Colab runs entirely in your browser, so you don’t need to install Python or an IDE (Integrated Development Environment).

You can also view our tutorials on GitHub, but its preview sometimes fails for larger jupyter notebooks; examples of these rendering issues are shown at the end of this page. To download any tutorial, open it on GitHub and choose the down-arrow icon (top-right menu) to save the file locally.

Recommended: Open in Colab

Click the "Open" link in the "Open in Colab" column of the following tables to immediately run, edit, and save a copy to your Google Drive.

Notebooks (open in Colab)

Notebook	Description	Open in Colab	View on GitHub
Quickstart	Install, load data, and run your first analysis.	Open	Source
Dissimilarity Measures	Compute and compare sequence dissimilarity metrics.	Open	Source
Hierarchical Clustering	Cluster sequences hierarchically and visualize dendrograms.	Open	Source
Local vs. Global Quintiles	Compare local vs global binning for value-to-state mapping.	Open	Source
Multidomain Sequence Analysis: Main tutorial	End-to-end analysis across multiple domains per subject.	Open	Source
Polyadic Sequence Analysis	Analyze polyadic sequences (multi-actor interactions).	Open	Source

Python scripts

Script	Description	Open in Colab	View on GitHub
Multidomain Sequence Analysis: CombT	CombT analysis workflow for multidomain sequences.	Open	Source
Polyadic Sequence Analysis	Script version of the polyadic analysis.	Open	Source

Why GitHub preview may fail

Sometimes GitHub fails to render a notebook (.ipynb) and shows:

Unable to render code block

You might see a screen like this:

This is a known limitation of GitHub’s preview for large outputs or complex notebooks.

To download the tutorial, click here:

Author: Yuqi Liang