Mridul Seth
I am a scientific software developer working on the scipp ecosystem at European Spallation Source to make neutrons go 🚀🚀🚀
European Spallation Source
Homepage – Twitter handle –@Mridul_Seth
Git*hub|lab –Session
Inspired by xarray, Scipp enriches raw NumPy-like multi-dimensional data arrays by adding named dimensions and associated coordinates. For an even more intuitive and less error-prone user experience, Scipp adds physical units to arrays and their coordinates. Through this tutorial, participants will learn about the basics of modelling their data with the Scipp library and using in built tools in Scipp for scientific data analysis.
One of Scipp's key features is the possibility of using multi-dimensional non-destructive binning to sort record-based "tabular"/"event" data into arrays of bins. This provides fast and flexible binning, rebinning, and filtering operations, all while preserving the original individual records.
Scipp ships with data display and visualization features for Jupyter notebooks, including a powerful plotting interface. Named Plopp, this tool uses a graph of connected nodes to provide interactivity between multiple plots and widgets, requiring only a few lines of code from the user.
Scipp is available via pip and conda and runs on Linux, Mac and Windows.