Scipp - Multi-Dimensional Arrays with Labeled Dimensions and Physical Units

Explore the capabilities of Scipp, a powerful library for handling multi-dimensional arrays with labeled dimensions and physical units, in this 33-minute EuroPython 2023 conference talk. Learn how Scipp enhances NumPy-like arrays by adding named dimensions, associated coordinates, and physical units for a more intuitive and error-resistant experience. Discover Scipp's unique features, including support for dictionary masks, histogram bin-edge coordinates, and non-destructive multi-dimensional binning for efficient sorting of tabular data. Gain insights into Scipp's data display and visualization tools for Jupyter notebooks, focusing on the Plopp plotting interface that offers interactivity between multiple plots and widgets with minimal code. Understand how Scipp, inspired by Xarray, can revolutionize your approach to working with complex scientific data arrays.

Scipp: multi-dimensional arrays with labeled dimensions and physical units — Neil Vaytet