Welcome to the repository of Python notebooks designed to help navigate through different modules and simplify astronomical data analysis with Python.
- Tutorial 1: Accessing Astronomical Data with
astroquery- ADQL Queries: Learn how to use ADQL (Astronomical Data Query Language) for complex data retrieval.
- Simple Queries: Discover how to perform straightforward queries without using ADQL.
- Tutorial 2: A short
pandasTutorial- Basic Operations: Learn the fundamentals of using pandas for data manipulation, including creating DataFrames, and performing basic operations like appending and accessing individual rows.
- Tutorial 3: A second short
pandasTutorial- Basic Functions: Follow-up tutorial on pandas functions, including concat, merge, group, and more. Also, a quick introduction to importing and exporting data is given.
To get started with the tutorials, you will need Python installed along with Jupyter Notebook. All needed packages will be found in the Notebooks.
Contributions are welcome! If you have suggestions for additional tutorials or improvements, please fork the repository and submit a pull request.
For questions or feedback, please reach out to [email protected].