# Nonlinear polarimetry in Python – pynlopol
## Overview
pynlopol is a Python library for nonlinear microscopy and polarimetry.
## Quick start
pynlopol requires Python v3.6 or later. To run the scripts from the command
line, Python has to be included in the system path.
Install pynlopol:
`python -m pip install pynlopol`
Your Python folder should now contain a PIPO analysis script under Scripts:
`fit_pipo_img.py`
and some test data under test_data:
`RTT v1_4 PIPO - 11_51_23_.221_.dat.zip`
Dragging the ZIP archive should start an example fitting routine.
## Demo
A video showing pynlopol installation and a demonstration of a rat-tail tendon SHG PIPO dataset fit. The video is slightly outdated, the package is called _pynolpol_ and is hosted on _test.pypi_.
https://github.com/lukaskontenis/pynlopol/assets/3004611/1e09f3dd-66de-4fac-b040-85d6ce02e57c
## Contact
Contact: Lukas Kontenis, dse.ssd@gmail.com
Copyright 2015-2023 Lukas Kontenis
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