diff --git a/doc/source/development/contributing_environment.rst b/doc/source/development/contributing_environment.rst
index bc0a3556b9ac1..c04ce33649345 100644
--- a/doc/source/development/contributing_environment.rst
+++ b/doc/source/development/contributing_environment.rst
@@ -24,7 +24,15 @@ Instead of manually setting up a development environment, you can use `Docker
 commands. pandas provides a ``DockerFile`` in the root directory to build a Docker image
 with a full pandas development environment.
 
-**Docker Commands**
+**Unix/macOS**
+
+There is a script to help you with this::
+
+    ./scripts/docker.sh
+
+When prompted, enter your Github username.
+
+**Windows**
 
 Pass your GitHub username in the ``DockerFile`` to use your own fork::
 
diff --git a/scripts/docker.sh b/scripts/docker.sh
new file mode 100755
index 0000000000000..ea572cc717efb
--- /dev/null
+++ b/scripts/docker.sh
@@ -0,0 +1,25 @@
+#!/bin/bash
+#
+# Set up a development environment with Docker.
+
+run_container () {
+    # Run a container and bind the local forked repo to it
+    docker run -it --rm -v "$(pwd)":/home/pandas-"$USER" pandas-"$USER"-env
+}
+
+# Check if pandas image already exists
+docker image ls | grep "pandas-$USER-env" &> /dev/null
+
+if [[ $? == 0 ]]; then
+
+    run_container
+
+else
+
+    # Pass the Github username as the build variable
+    read -rp "Github username: " gh_username
+    docker build --tag pandas-"$USER"-env --build-arg gh_username=$gh_username .
+
+    run_container
+
+fi