Organizing parameters: dataclasses and dataconf: Revision history

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17 October 2025

16 October 2025

  • curprev 15:1115:11, 16 October 2025 Davrot talk contribs 5,707 bytes +5,707 Created page with " == The goal == In data science we have a lot of parameters in our simulations. Often the parameters are distributed over the whole source code. The combination of dataclass and dataconf allows it very easily to put the parameters in to a config file. dataconf supports many different config types. Among those are json and yaml. Questions to [mailto:davrot@uni-bremen.de David Rotermund]<syntaxhighlight lang="shell">pip install dataconf</syntaxhighlight> == Defining the..." Tag: Visual edit
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