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SUMMARY:Units next to your Data: Arrays with Scipp - Mridul Seth
DTSTART;TZID=Europe/Warsaw:20250821T103000
DTEND;TZID=Europe/Warsaw:20250821T110000
DTSTAMP:20260915T025733Z
UID:pretalx-euroscipy-2025-K9L3VH@pretalx.com
DESCRIPTION:Inspired by xarray\, Scipp enriches raw NumPy-like multi-dimen
 sional data arrays by adding named dimensions and associated coordinates. 
 For an even more intuitive and less error-prone user experience\, Scipp ad
 ds physical units to arrays and their coordinates. There are multiple ways
  of working with units in the Scientific Python world\, and there are even
  new initiatives like the Units/Quantity API and in this talk we will look
  at Scipp (which wraps around llnl-units).\n\nBut units are just one part 
 of working with scientific data. Scipp also has a powerful non-destructive
  binning method to sort record-based "tabular"/"event" data into arrays of
  bins which could be useful if you are dealing with lots of data which nee
 ds to analyzed quickly. Scipp can also natively propagate uncertainties th
 rough your computations. Stop by this talk if you would like to see how Sc
 ipp can power scientific data analysis.
LOCATION:Room 1.38 (Ground Floor)
URL:https://pretalx.com/euroscipy-2025/talk/K9L3VH/
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