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Adding data analysis libraries #69

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Nov 9, 2023
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6 changes: 5 additions & 1 deletion python/further_reading.md
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# More advanced topics in Python

## Nice standard libraries
* argsparse, datetime, fnmatch, glob, os, re, sys, subprocess
* argsparse, datetime, fnmatch, re, sys, subprocess, pathlib

## Nice libraries for data analysis
* [NumPy](https://numpy.org/)
* [pandas](https://pandas.pydata.org/docs/)
* [matplotlib](https://matplotlib.org/)
* [iminuit](https://iminuit.readthedocs.io/en/stable/) for fitting
* [resample](https://resample.readthedocs.io/en/stable/) for uncertainty estimation with the bootstrap and jackknife
* [jacobi](https://hdembinski.github.io/jacobi/) for error propagation based on first derivatives
* [numba-stats](https://github.com/HDembinski/numba-stats) fast implementations of statistical distributions to build statistical models

## Python and ROOT
* pyROOT: Python interface for ROOT
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