Aug 10, 2022 · Jul 16, 2022 · Aug 4, 2022 · Aug 10, 2022 · Aug 10, 2022
diff --git a/doc/devel/development_setup.rst b/doc/devel/development_setup.rst
 Setting up Matplotlib for development
 =====================================

 Retrieving the latest version of the code
 =========================================

 Matplotlib is hosted at https://github.com/matplotlib/matplotlib.git.

 You can retrieve the latest sources with the command (see
 :ref:`set-up-fork` for more details)::

    git clone https://github.com/matplotlib/matplotlib.git

 This will place the sources in a directory :file:`matplotlib` below your
 current working directory.

 If you have the proper privileges, you can use ``git@`` instead of
 ``https://``, which works through the ssh protocol and might be easier to use
 if you are using 2-factor authentication.

 .. _dev-environment:

 Creating a dedicated environment
 ================================
 You should set up a dedicated environment to decouple your Matplotlib
 development from other Python and Matplotlib installations on your system.

 Using virtual environments
 --------------------------

 Here we use python's virtual environment `venv`_, but you may also use others
 such as conda.

 Whenever you plan to work on Matplotlib, remember to activate the development
 environment in your shell.

 Retrieving the latest version of the code
 =========================================
 Conda dev environment
 ---------------------
 After you have cloned the repo change into the matplotlib directory.

 Matplotlib is hosted at https://github.com/matplotlib/matplotlib.git.
 A new conda environment can be set-up with::

 You can retrieve the latest sources with the command (see
 :ref:`set-up-fork` for more details)::
    conda env create -f environment.yml

    git clone https://github.com/matplotlib/matplotlib.git
 Note that if you have mamba installed you can replace conda with mamba in
 the above command.

 This will place the sources in a directory :file:`matplotlib` below your
 current working directory.
 To activate your environment::

 If you have the proper privileges, you can use ``git@`` instead of
 ``https://``, which works through the ssh protocol and might be easier to use
 if you are using 2-factor authentication.
    conda activate mpl-dev

 Finish the install by the following command::

    pip install -e .

 Whenever you plan to work on Matplotlib, remember to ``conda activate mpl-dev``
 in your shell.

 Installing Matplotlib in editable mode
 ======================================