Lesson Topics

Tracking changes with Git and collaborating through branches, pull requests, and shared repositories.

Making research software findable, accessible, interoperable, and reusable: citation, metadata, and discoverability.

Planning, maintaining, and sustaining a project over time: workload, roadmaps, and keeping contributors engaged.

Testing, code review, continuous integration, and automation that keep software correct and maintainable.

Building healthy communities: codes of conduct, governance models, inclusive communication, and contributor relations.

Packaging software for Python, R, and other ecosystems, and releasing and distributing it to users.

Choosing and applying open source licenses, and understanding copyright, attribution, and the terms of reuse.

Measuring and assessing the health, viability, and risk of open source projects.

Reproducible computational environments and workflows using containers, environment management, and pipelines.

Designing and structuring software well: modularity, architecture, and general software engineering practice.

Writing READMEs, tutorials, API references, and other documentation that helps people use and contribute to software.

Making software and its documentation usable by everyone, including people with disabilities.

Securing source code, dependencies, and the software supply chain.