Introduction

Describe how to build the environment of jupyterLab using docker-compose file.

JupyterLab is an interactive development environment based on Jupyter (iPython notebook)

Required files and directories

docker-compose.yml --Used to describe the settings required for the jupyterLab environment. --You can start it with the docker run command, but use this because the command is troublesome. --work directory --Used to save ipynb files etc.

Directory structure

Create files and directories so that the configuration diagram is as shown below.

`Diagram`


.
├── docker-compose.yml
├── work

Contents of docker-compose.yml

Describe the necessary settings in docker-compose.yml to build the jupyterLab environment.

`docker-compose.yml`


version: "3"
services:
  notebook:
　　 # https://hub.docker.com/r/jupyter/datascience-Pull image from notebook
    image: jupyter/datascience-notebook
    #Port settings("Host: Container")
    ports:
      - "8888:8888"
    #Setting environment variables
    environment:
      - JUPYTER_ENABLE_LAB=yes
    #volume(Location of data persistence)settings of(host:container)
    #In the work directory on the host and in the container/home/jovyan/Image to which the work directory is linked
    volumes:
      - ./work:/home/jovyan/work
    #Finally, execute the command to connect to jupyterLab.
    command: start-notebook.sh --NotebookApp.token=''

starting method

After writing docker-compose.yml, execute the following command

$ docker-compose up -d

The first time it takes time to pull the image.

Once the container is up, go to http: // localhost: 8888.

Success if the screen below appears!

Supplement (for those who want to start with the docker run command)

Personally, I like the method of starting using the docker-compose file, but if you have trouble creating the docker-compose file, you can also start it with the following command.

$ docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v ./work :/home/jovyan/work jupyter/datascience-notebook

At startup, the following log will appear on the console, so copy the [Token] part.

Copy/paste this URL into your browser when you connect for the first time,
  to login with a token:
  http://7dae9a493ca7:8888/?token=[token]

Go to http: // localhost: 8888.

Then, you will be asked for a password etc., so paste the token you copied earlier in the password field.

Then, the screen of jupyterLab is displayed.

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