Astropy Workshop

Overview

The upcoming workshop on Python and Astropy for Astronomical Data Analysis at the 247th Meeting of the AAS in Phoenix, AZ, presents an invaluable opportunity for anyone interested in mastering data analysis and visualization in astronomy. Set to take place on January 4, 2026, from 9:00 am to 5:30 pm, this workshop is designed to provide participants with hands-on experience and insights into the robust capabilities of Python tools tailored for astronomical data, particularly focusing on UV, Optical, and IR data.

Attendees will benefit from a structured schedule packed with informative sessions led by knowledgeable instructors. There will be a mix of introductory talks and practical exercises, ensuring that both beginners and experienced users can enhance their skills in utilizing the Astropy library and its extensive functionalities for data analysis.

Features

• Comprehensive Coverage: The workshop addresses a wide array of topics, including Astropy units, object-oriented programming, and data I/O formats such as FITS and ASCII.
• Expert Instructors: Learn from seasoned professionals in the field, including Kelle Cruz and Brett Morris, who will guide participants through complex concepts.
• Hands-On Learning: Ample opportunities for hands-on practice allow attendees to apply their knowledge in real-time, reinforcing the concepts discussed.
• Community Focus: The workshop emphasizes the role of community in astronomy, encouraging participants to engage with Astropy's broader community and contribute.
• Pre-Workshop Preparation: Attendees are advised to set up their laptops in advance, with support available from facilitators for any pre-workshop technical issues.
• Networking Opportunities: Connect with fellow astronomers and data scientists, fostering collaborations and discussions that extend beyond the workshop.
• Variety of Tools: Exposure to multiple tools within the Astropy ecosystem provides a well-rounded experience, ensuring participants leave with a useful skill set.
• Interactive Sessions: Explore together time will allow for informal discussions and collaboration among participants, enhancing the learning experience.