Learning

Practical Observational Astronomy at Optical/IR Wavelengths

Python for Astronomy → Stellar Properties and Evolution

This learning path equips graduate students with the practical skills needed to plan, execute, and reduce optical/IR observations. It covers the full workflow from proposal writing and telescope scheduling through data calibration, photometric and spectroscopic reduction, error analysis, and archival research, with Python-based tools integrated throughout.