Python for Astronomy: Analyzing Space Data with Astropy

Have you ever wondered how astronomers use code to track planets and calculate the best times to observe distant stars? Python has become the standard language for space science, and you do not need an advanced degree in astrophysics to start analyzing real celestial data. This text-based course guides you through the foundational concepts of modern computational astronomy. You will learn how to leverage powerful Python libraries to solve real-world astronomical problems, from calculating planetary conjunctions to plotting optimal viewing windows for stars. What you'll learn: - Understand core astronomical coordinates, time scales, and units using Astropy - Calculate planetary alignments and predict planetary conjunctions with high precision - Analyze and manipulate stellar data tables using pandas and NumPy - Model and plot the observability of stars based on location and time parameters - Format astronomical plots and data visualizations clearly and professionally - Apply modern Python practices, including type hints and clean data structures, to scientific workflows The course begins with foundational astronomical definitions, coordinate systems, and library setups. You will then progress through practical written exercises that demonstrate how to query, process, and visualize space data step by step. This course is designed for beginner programmers, students, and astronomy enthusiasts who want to combine their passion for space with practical coding skills. No prior background in astrophysics or advanced mathematics is required. Start reading today and take your first steps into the world of computational astronomy.