id,page,ref,title,content,breadcrumbs,references
contributing:devenvironment,contributing,devenvironment,Setting up a development environment,"If you have Python 3.10 or higher installed on your computer (on OS X the quickest way to do this  is using homebrew ) you can install an editable copy of Datasette using the following steps. 
             If you want to use GitHub to publish your changes, first  create a fork of datasette  under your own GitHub account. 
             Now clone that repository somewhere on your computer: 
             git clone git@github.com:YOURNAME/datasette 
             If you want to get started without creating your own fork, you can do this instead: 
             git clone git@github.com:simonw/datasette 
             The quickest way to set up a development environment is to use  uv . From the repository root you can run the tests directly: 
             cd datasette
uv run pytest 
             This will create a local  .venv/  and install Datasette plus its development dependencies. 
             If you prefer to manage your own virtual environment with pip, create and activate one and then install the development dependency group: 
             python3 -m venv ./venv
source venv/bin/activate
python3 -m pip install -e . --group dev","[""Contributing""]","[{""href"": ""https://docs.python-guide.org/starting/install3/osx/"", ""label"": ""is using homebrew""}, {""href"": ""https://github.com/simonw/datasette/fork"", ""label"": ""create a fork of datasette""}, {""href"": ""https://github.com/astral-sh/uv"", ""label"": ""uv""}]"