Setup of lab2learn

Lab environment for Jupyter applications.

Running these labs
- Launching via Cloud Services
  - Via MyBinder.org (instance of the project jupyterhub/binderhub)
  - Via Google Colaboratory
- Launching Locally via Docker
  - DockerHub Image
  - Using repo2docker
SQL Labs

Running these labs

Examples and exercises in this lab are presented as Jupyter Notebooks. Get started with this lab simply by cloning this repository within your own Jupyter environment or by launching an environment in the cloud services listed below.

Launching via Cloud Services

Via MyBinder.org (instance of the project jupyterhub/binderhub)

Jupyter Lab:
Jupyter:

Via Google Colaboratory

Jupyter Notebook:

Launching Locally via Docker

You may also launch this lab on your own environment using Docker, either using our own image or building one with repo2docker. Instructions on how to install Docker can be found here

DockerHub Image

Launch our own Docker image with the command:

docker run -it -p 8888:8888 santanche/lab2learn

Alternatively, you can map you local home folder into the container:

docker run -it -v ~:/home/jovyan -p 8888:8888 santanche/lab2learn

Access the Jupyter/Jupyter Lab at http://0.0.0.0:8888.

The Dockerfile used to build the image can be found here.

Using repo2docker

You can run a containerized instance of Jupyter/Jupyter Lab via the repo2docker tool. Repo2docker will clone this repository, build a docker image with all internal requirements, and launch a Jupyter/JupyterLab instance. Try:

repo2docker -p 8888:8888 https://github.com/santanche/lab2learn  jupyter-lab --ip 0.0.0.0 --NotebookApp.token=''