Overview

This repository includes Dockerfiles and template devcontainer.json definitions for containerized data science and .NET development.

The LaTex container is based on the VSCode Workshop container example from James Yu.

Prerequisites

• Docker Engine for Linux
• Docker Desktop for Windows or Mac

Containers

Name	Description
Data Science	Jupyter support for Julia, R, and Python with default packages for each
Data Science (GPU)	Jupyter support for Julia, R, and Python with Tensorflow GPU acceleration
Dotnet Interactive	Dotnet C# and F# Jupyter notebooks
Tex Live	Tools for editing and compiling LaTex documents

Usage

Open Project in Container

1. Copy the devcontainer.json file corresponding to the desired container into .devcontainers/ at the root of the target project
2. Open the folder in VS Code and press Ctrl+Shift+P to find Dev Containers: Open Folder in Container
3. Open the container and choose the project root
4. VS Code will launch a new window with your project running in the dev container

Jupyter Notebooks

1. In VS Code, type Ctrl+Shift+P to open the command palette
2. Search for Create: New Jupyter notebook
3. In the top right, choose the kernel. Choose from julia 1.x.x (not release channel), base (python 3.x.x) (not other kernels), or R

GPU Acceleration

Install the NVIDIA container toolkit before launching the container.