CodeBook

A code-server that runs several projects in different languages. In addition, all supported languages can be used in a Jupyter Notebook.

The goal for this Project is to provide an environment for teaching and learning and provide a unified environment for data scientists and code enthusiasts.

Supported languages

• c
• perl
• bash
• node / typescript
• python
• swift
• rust

Installed Kernels:

• c /root/.local/share/jupyter/kernels/c
• iperl /root/.local/share/jupyter/kernels/iperl
• bash /usr/local/share/jupyter/kernels/bash
• jslab /usr/local/share/jupyter/kernels/jslab
• python3 /usr/local/share/jupyter/kernels/python3
• tslab /usr/local/share/jupyter/kernels/tslab
• Lua

Installed and ready to go libraries

• Apache Spark

Command-line tools

• kubectl
• git jq unzip

Still missing language support

• Go
• (evcxr_jupyter /root/.local/share/jupyter/kernels/rust)

How to run codebook

From Source

1. download the sources from github
2. build the container with ./build.sh
3. run it run.sh

Wait until your browser opens

Quick code from withhin the current directory

curl https://raw.githubusercontent.com/aus-der-Technik/CodeBook/main/codebook.sh | sh -

This will download the docker-compose file and start CodeBook from the current directory

You may want to add an alias to your system configuration:

alias codebook='curl https://raw.githubusercontent.com/aus-der-Technik/CodeBook/main/codebook.sh | sh -'