Speaker
Saransh Chopra
(Cluster Innovation Centre, University of Delhi)
Description
Vector is a Python library for 2D, 3D, and Lorentz vectors, including arrays of vectors, designed to solve common physics problems in a NumPy-like way. Vector currently supports pure Python Object, NumPy, Awkward, and Numba-based (Numba-Object, Numba-Awkward) backends.
This talk will focus on introducing Vector and its backends to the HEP community through a data analysis pipeline. The session will build up from pure Python Object based vectors to Awkward based vectors, ending with a demonstration of Numba support. Furthermore, we will discuss the latest developments in the library's API and showcase some recent enhancements.
Primary authors
Henry Fredrick Schreiner
(Princeton University)
Jim Pivarski
(Princeton University)
Saransh Chopra
(Cluster Innovation Centre, University of Delhi)
