# JupyterLab A [Jupyter](http://jupyter.org/) notebook is a browser-based interface where you can write, run, remix and republish code. It is free software that anyone can install and run. It is used by [scientists](http://nbviewer.jupyter.org/github/robertodealmeida/notebooks/blob/master/earth_day_data_challenge/Analyzing%20whale%20tracks.ipynb), [scholars](http://nbviewer.jupyter.org/github/nealcaren/workshop_2014/blob/master/notebooks/5_Times_API.ipynb), [investors](https://github.com/rsvp/fecon235/blob/master/nb/fred-debt-pop.ipynb) and corporations to create and share their research. It is also used by journalists to develop stories and show their work. Examples published by past students and teachers of this class include: * [“As Opioid Crisis Ramped Up, Pills Flowed Into Vermont by the Millions”](https://github.com/asuozzo/arcos-opioid-analysis-vt) by Andrea Suozzo * [“A frenzy of well drilling is depleting aquifers in California farmland.”](https://github.com/datadesk/groundwater-analysis) by Gabrielle LaMarr LeMee * [“What it’s like to go to school when dozens have been killed nearby”](https://github.com/datadesk/highschool-homicide-analysis) by Iris Lee * [“City of Chicago Parking and Camera Ticket Data”](https://github.com/propublica/il-tickets-notebooks) by David Eads * [“Chicago's Sidewalk Snow Clearance: The North Side Complains, the South Side Gets Fined“](https://github.com/reliablerascal/snow-clearance) by Rob Reid You can find hundreds of other examples [on GitHub](https://github.com/search?q=language%3A%22Jupyter+Notebook%22&type=Repositories&ref=advsearch&l=Jupyter+Notebook&l=&s=updated&o=desc), including notebooks published by [Buzzfeed](https://github.com/BuzzFeedNews/2016-01-tennis-betting-analysis/blob/master/notebooks/tennis-analysis.ipynb), [ProPublica](https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb), [The Economist](https://github.com/theeconomist/big-mac-data/blob/master/Big%20Mac%20data%20generator.ipynb), [POLITICO](https://github.com/The-Politico/politico-2018-district-similarity-maps/blob/master/demographic_similarity.ipynb), [The Markup](https://github.com/the-markup/investigation-isp) and [the Los Angeles Times](https://github.com/datadesk/notebooks). There are numerous ways to install and configure Jupyter notebooks. Since this tutorial is designed for beginners, it will demonstrate how to use [JupyterLab Desktop](https://github.com/jupyterlab/jupyterlab-desktop), a self-contained application that provides a ready-to-use Python environment with several popular libraries bundled in. It can be installed on any operating system with a simple point-and-click interface. ```{note} Advanced users like to have more control over when and where code is installed on their system. Readers interested in the techniques preferred by the pros should consult [our appendix](/appendix/index.md). It requires use of your computer’s command-line interface. ``` ## Install JupyterLab Desktop