Python in High Energy Physics

Explore the growing role of Python in High Energy Physics through this insightful PyCon US talk by Pratyush Das. Discover how Python has become the language of choice for physicists, second only to its adoption in Astrophysics. Learn about the historical context of computing in High Energy Physics and the pivotal role physicists played in computer science development. Examine the emergence of crucial libraries like cppyy and uproot, which have facilitated the transition from C++ to Python in the field. Gain an understanding of the Scikit-HEP project, a community-driven initiative providing a comprehensive ecosystem for data analysis in Particle Physics. Explore the interoperability between High Energy Physics tools and the broader scientific Python ecosystem. Delve into topics such as the Worldwide LHC Computing Grid, GPU acceleration, and the adoption of machine learning in physics research. Hear perspectives from practicing physicists and learn about Python's applications in other physics subfields. Conclude with insights into the future of Python in High Energy Physics and its potential to revolutionize the field.