https://github.com/ssciwr/cnsr

Analysis notebooks for the CNSR core facility at Heidelberg University
https://github.com/ssciwr/cnsr

Last synced: 8 months ago
JSON representation

Analysis notebooks for the CNSR core facility at Heidelberg University

• Host: GitHub
• URL: https://github.com/ssciwr/cnsr
• Owner: ssciwr
• License: mit
• Created: 2023-09-18T08:10:03.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-08T15:35:25.000Z (almost 2 years ago)
• Last Synced: 2025-02-05T18:08:54.553Z (9 months ago)
• Language: Jupyter Notebook
• Size: 134 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: COPYING.md

Awesome Lists containing this project

README

          
# Welcome to the CNSR Lab Code Base

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/ssciwr/cnsr/ci.yml?branch=main)](https://github.com/ssciwr/cnsr/actions/workflows/ci.yml)

[![PyPI Release](https://img.shields.io/pypi/v/cnsr.svg)](https://pypi.org/project/cnsr)

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/cnsr.svg)](https://anaconda.org/conda-forge/cnsr)

![CNSR_Logo_Final](https://github.com/ssciwr/cnsr/assets/72193532/cdde3cfa-723c-4119-ac69-b566ec7ff554)

This repository provides Jupyter notebook templates required to perform analysis on the data created during experiments at the [CNSR core facility of Heidelberg University](https://cnsr.uni-heidelberg.de/).

## Installation

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

```bash

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:

```bash

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](https://ssc.uni-heidelberg.de).