DOC: Expanded Using a Docker Container section

doc/source/development/contributing.rst

@@ -153,14 +153,38 @@ to build the documentation locally before pushing your changes.
 Using a Docker container
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
-Instead of manually setting up a development environment, you can use Docker to
-automatically create the environment with just several commands. Pandas provides a `DockerFile`
-in the root directory to build a Docker image with a full pandas development environment.
+Instead of manually setting up a development environment, you can use `Docker
+<https://docs.docker.com/get-docker/>`_ to automatically create the environment with just several
+commands. Pandas provides a `DockerFile` in the root directory to build a Docker image
+with a full pandas development environment.
 
-Even easier, you can use the DockerFile to launch a remote session with Visual Studio Code,
+**Docker Commands**
+
+Pass your GitHub username in the `DockerFile` to use your own fork::
+
+    # Build the image pandas-yourname-env
+    docker build --tag pandas-yourname-env .
+    # Run a container and bind your local forked repo, pandas-yourname, to the container
+    docker run -it --rm -v path-to-pandas-yourname:/home/pandas-yourname pandas-yourname-env
+
+Even easier, you can integrate Docker with the following IDEs:
+
+**Visual Studio Code**
+
+You can use the DockerFile to launch a remote session with Visual Studio Code,
 a popular free IDE, using the `.devcontainer.json` file.
 See https://code.visualstudio.com/docs/remote/containers for details.
 
+**PyCharm (Professional)**
+
+Enable Docker support and use the Services tool window to build and manage images as well as
+run and interact with containers.
+See https://www.jetbrains.com/help/pycharm/docker.html for details.
+
+Note that you might need to rebuild the C extensions if/when you merge with upstream/master using::
+
+    python setup.py build_ext --inplace -j 4
+
 .. _contributing.dev_c:
 
 Installing a C compiler