Foundational Python, scientific computing, and tooling guidance presented as an open textbook for astronomers.
Inside the textbook
- Python programming patterns applied to observational and simulation workflows.
- Numerical, visualization, and automation techniques for modern data volumes.
- Data analysis techniques across all modalities: images, spectra, and time series.
- Best practices for collaboration, version control, and human-AI co-development.
Lecture archive
Loading lectures…