Development Workspace¶

You can run VSCode in Docker if you feel like doing so. The code-server image used is similar to the normal VSCode, but can be hosted online if you know how.

VSCode¶

Spinning the Docker container up¶

The Docker image we are using has special user permissions to UID 2222 and GID 2222. As such, we would create a new folder named workspaces to copy the codebase inside and interact with it. (Only affects Linux)

You can spin the Docker container up as such:

docker run -it --name code-server -p 127.0.0.1:8080:8080 \
  -v "$HOME:/home/coder" \
  -u "$(id -u):$(id -g)" \
  -e "DOCKER_USER=$USER" \
  asia-southeast1-docker.pkg.dev/machine-learning-ops/pub-images/code-server:latest

docker run -it --name code-server -p 127.0.0.1:8080:8080 \
  -v "$HOME:/home/coder" \
  -e "DOCKER_USER=$USER" \
  asia-southeast1-docker.pkg.dev/machine-learning-ops/pub-images/code-server:latest

docker run -it --name code-server -p 127.0.0.1:8080:8080 `
  -v "$Env:USERPROFILE:/home/coder" `
  -e "DOCKER_USER=$Env:USERNAME" `
  asia-southeast1-docker.pkg.dev/machine-learning-ops/pub-images/code-server:latest

Extensions for VSCode¶

You can install a multitude of extensions for your VSCode service but there are a couple that would be crucial for your workflow, especially if you intend to use Jupyter notebooks within the VSCode environment.

• ms-python.python: Official extension by Microsoft for rich support for many things Python.
• ms-toolsai.jupyter: Official extension by Microsoft for Jupyter support.

$ code-server --install-extension /path/to/extension.vsix