https://github.com/parente/wildwolfwatch

Tutorial for the Wild Wolf Watch project at the Durham Museum of Life and Science
https://github.com/parente/wildwolfwatch

Last synced: 1 day ago
JSON representation

Tutorial for the Wild Wolf Watch project at the Durham Museum of Life and Science

• Host: GitHub
• URL: https://github.com/parente/wildwolfwatch
• Owner: parente
• Created: 2018-02-17T22:12:31.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-30T13:07:53.000Z (over 6 years ago)
• Last Synced: 2024-11-05T11:08:33.238Z (about 2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 220 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/parente/wildwolfwatch/master?urlpath=%2Flab%2Ftree%2Fwild-wolf-watch-classifications.ipynb)

The CSV file in this repository contains data from a citizen science project called *Wild Wolf Watch* out of the [Museum of Life and Science](https://www.lifeandscience.org/) in Durham, NC. This repository exists to demonstrate how the dataset can be manipulated using [Pandas]() in [Jupyter Lab](github.com/jupyterlab/jupyterlab) running on [Binder](mybinder.org).

1. Click the Binder button above to launch a Jupyter Lab instance in the cloud.

2. Double-click the `wild-wolf-watch-classifications.ipynb` notebook in the File sidebar.

2. Click the Run button above the notebook to execute the notebook cell by cell, reading the commentary and making changes to experiment as you go.

If you simply want to view the notebook, but not edit or execute it yourself, simply click the `.ipynb` file here on GitHub.