@@ -16,13 +16,11 @@ locally before pushing your changes. It's recommended to also install the :ref:`
1616 :maxdepth: 2
1717 :hidden:
1818
19- contributing_gitpod.rst
2019
2120Step 1: install a C compiler
2221----------------------------
2322
24- How to do this will depend on your platform. If you choose to use ``Docker `` or ``GitPod ``
25- in the next step, then you can skip this step.
23+ How to do this will depend on your platform.
2624
2725**Windows **
2826
@@ -163,51 +161,6 @@ should already exist.
163161 # Install the build dependencies
164162 python - m pip install - r requirements- dev.txt
165163
166- Option 3: using Docker
167- ~~~~~~~~~~~~~~~~~~~~~~
168-
169- pandas provides a ``DockerFile `` in the root directory to build a Docker image
170- with a full pandas development environment.
171-
172- **Docker Commands **
173-
174- Build the Docker image::
175-
176- # Build the image
177- docker build -t pandas-dev .
178-
179- Run Container::
180-
181- # Run a container and bind your local repo to the container
182- # This command assumes you are running from your local repo
183- # but if not alter ${PWD} to match your local repo path
184- docker run -it --rm -v ${PWD}:/home/pandas pandas-dev
185-
186- *Even easier, you can integrate Docker with the following IDEs: *
187-
188- **Visual Studio Code **
189-
190- You can use the DockerFile to launch a remote session with Visual Studio Code,
191- a popular free IDE, using the ``.devcontainer.json `` file.
192- See https://code.visualstudio.com/docs/remote/containers for details.
193-
194- **PyCharm (Professional) **
195-
196- Enable Docker support and use the Services tool window to build and manage images as well as
197- run and interact with containers.
198- See https://www.jetbrains.com/help/pycharm/docker.html for details.
199-
200- Option 4: using Gitpod
201- ~~~~~~~~~~~~~~~~~~~~~~
202-
203- Gitpod is an open-source platform that automatically creates the correct development
204- environment right in your browser, reducing the need to install local development
205- environments and deal with incompatible dependencies.
206-
207- If you are a Windows user, unfamiliar with using the command line or building pandas
208- for the first time, it is often faster to build with Gitpod. Here are the in-depth instructions
209- for :ref: `building pandas with GitPod <contributing-gitpod >`.
210-
211164 Step 3: build and install pandas
212165--------------------------------
213166
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