agbocsardi.com / r_python_docker_template
[READ-ONLY] Mirror of https://github.com/agbocsardi/r_python_docker_template. This is my template for projects where I have to use both R and Python, and want to dockerize my environment.
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README.md
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README.md

r_python_docker_template #

This repository is a template for creating a Dockerized development environment that includes the latest versions of Python and R, along with RStudio Server. It is designed to facilitate mixed-language projects and make development easier and more reproducible.

Getting Started #

Prerequisites #

  • Docker
  • Visual Studio Code
  • Remote - Containers Extension for VS Code

Setup #

  1. Clone this repository:

    git clone https://github.com/gbocsardi/r_python_docker_template.git
cd r_python_docker_template

  2. Build container:

    docker build -t python-r-env --platform linux/amd64 .
  1. Run the container manually:
docker run --platform linux/amd64 -it --rm \         
    -v $(pwd)/data:/workspace/data \
    -v $(pwd)/code:/workspace/code \
    -p 8787:8787 \
    -p 8888:8888 \
    python-r-env

Usage #

Make sure your container is running!

VS Code for Python #

  1. Open VS Code, and hit CMD+Shift+P to open the command palette.
  2. Seach for "Dev Containers: Attach to Running Container..."
  3. From the opened context menu select your container.
  4. You're in your workspace directory, the parent directory of code/ and data/.

RStudio Server for R #

  • You can access RStudio Server at http://localhost:8787.
  • Login credentials are rstudio for both username and password (without quotes).
  • You're in your workspace directory, the parent directory of code/ and data/.

Jupyter Notebook #

  • You can access Jupyter Notebook at http://localhost:8888.
  • The access credentials are disabled in the supervisord.conf file. You can enable it by removing the --NotebookApp.token='' and --NotebookApp.password='' flag from the supervisord.conf file.

Customization #

  • Adding Python Packages: Update the requirements.txt file with the required packages.
  • Adding R Packages: Update the install_packages.R file with the required packages.

On Windows (UNTESTED) #

Delete the --platform linux/amd64 flag from the docker run command. Delete the below from the devcontainer.json file:

"options": [
            "--platform=linux/amd64"
        ]