Welcome to the CNSR Lab Code Base

This repository provides Jupyter notebook templates required to perform analysis on the data created during experiments at the CNSR core facility of Heidelberg University.

Installation

The recommended installation for the cnsr Python package is via Conda:

conda install -c conda-forge cnsr

Usage

After installing cnsr, start JupyterLab either via the command line or via the Jupyter App launcher UI on Windows:

jupyter lab

In the JupyterLab launcher, you will see a shortcut for each analysis task at CNSR. Clicking on this notebook will create a copy of the respective analysis notebook in the current working directory.

Acknowledgments

The conda packaging of this repository was implemented by the Scientific Software Center at Heidelberg University.