Experience

In fall of 2022, I organized the first-ever Python Crash Course session for astronomy undergraduates at Indiana University (IU). This single event blossomed into the recurring PyIU Python workshop series, which serves to spark interest in STEM and provide students with the programming skills necessary to begin and ultimately succeed in scientific research. PyIU consists of two in-person Python sessions, which are free and offered once each every semester. The first is a lecture-style Python Crash Course designed to cover the fundamentals of Python and programming, including variables, lists, logic, loops, functions, and plotting. The second session, usually held later in the semester, is an Advanced Python Workshop that covers more powerful Python tools, tricks, packages, and practical applications in research (past topics include Data Analysis with numpy & pandas, Data Fitting, Statistics, Advanced Plotting, and much more). Both sessions are entirely led by IU Astronomy graduate students and postdocs.

Since 2022, many original resources and code demos have been produced through PyIU, which is why we have transitioned to making all materials available in a public GitHub repository, which is accessible here: github.com/BrandonRadzom/pyiu.

Media:

• Fall 2024 Crash Course: https://astro.indiana.edu/news-events/news/2024-fall-python-crash-course-wrapup.html
• Spring 2023 Advanced Workshop: https://astro.indiana.edu/news-events/news/pythn-crash-course-2023.html

See CV for relevant professional development experience.