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Adding data analysis libraries #69

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merged 2 commits into from
Nov 9, 2023

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HDembinski
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Hi,

I would like to add some libraries to this this. Disclaimer: I am the author of iminuit, resample, jacobi, and numba-stats.

These libs are foundational for HEP analysis in Python, if you want to work outside of ROOT. iminuit with numba-stats is faster than RooFit and similarly versatile, while being a much more open system. jacobi and resample cover all needs of estimating and propagating statistical uncertainties. iminuit and resample are part of Scikit-HEP. All these libraries have excellent documentation and are of high quality.

I further changed the list of nice standard libraries: pathlib is the modern replacement for direct calls to the os and glob modules.

Disclaimer: I am the author of iminuit, resample, jacobi, and numba-stats. 

These are essential libraries for HEP analysis in Python, if you want to work outside of ROOT. iminuit with numba-stats is faster than RooFit. jacobi and resample cover all needs of estimating and propagating statistical uncertainties. iminuit and resample are part of Scikit-HEP.

I also changed the list of nice standard libraries: pathlib is the modern replacement for direct calls to the os module.
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@jonas-eschle
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Thanks @HDembinski , that's a good idea to promote them in this section! I'll merge these but will probably rework and extend the section to include more of the scikit-HEP libraries

@jonas-eschle jonas-eschle merged commit 5198c68 into hsf-training:master Nov 9, 2023
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2 participants