Move Jupyter quickly

Install Docker. From https://hub.docker.com/editions/community/docker-ce-desktop-mac/.
From the console do the following: This will launch Jupyter.

docker run -d --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work -e GRANT_SUDO=yes --user root jupyter/datascience-notebook:$tag start-notebook.sh --NotebookApp.token=password

Access 127.0.0.1:8888/lab from your browser.
Enter password when prompted for a password on the login screen.
the end

Make it move from anywhere.

`run_jupyter_lab`


#!/bin/bash
tag=latest
password=password
port=8888

# validate args
if [ $# -gt 1 ]; then
  echo ERROR: the number of args must be 0 or 1
  exit 1
fi

# if a port num is specified, then change the port num
if [ $# -ne 0 ]; then
  port=$1
fi

# the name of running container with port num
name=jl_${port}

# run juypyter lab with port $port
docker run -d --rm -p ${port}:8888 --name ${name} -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan/work -e GRANT_SUDO=yes --user root jupyter/datascience-notebook:$tag start-notebook.sh --NotebookApp.token=$password

Put this in something like ~ / bin / run_jupyter_lab. It is assumed that PATH is in here.

When you execute the run_jupyter_lab command, docker container will run with the name of the directory you executed. Run it in the directory where your notebook is.

reference

https://github.com/jupyter/docker-stacks
https://hub.docker.com/r/jupyter/datascience-notebook

Make it work with VS Code

`settings.json`


{
    "python.pythonPath": "./.venv/bin/python3",
    "python.analysis.extraPaths": [
        "hoge/"
    ],
    "files.autoSave": "afterDelay",
    "files.autoSaveDelay": 1000,
    "python.linting.lintOnSave": true,
    "python.linting.pylintEnabled": false,
    "python.linting.pycodestyleEnabled": false,
    "python.linting.flake8Enabled": true,
    "python.linting.flake8Args": [
        "--ignore=W293, W504",
        "--max-line-length=200",
        "--max-complexity=20"
    ],
    "python.formatting.provider": "autopep8",
    "python.formatting.autopep8Args": [
        "--aggressive",
        "--aggressive"
    ],
    "autoDocstring.docstringFormat": "google",
    "editor.formatOnSave": true
}

pipenv --python 3.8
pipenv install --dev autopep8 flake8

If you use jupyter

pipenv install --dev ipykernel

Library installation that seems necessary

pipenv install pandas scikit-learn matplotlib

Make JupyterLab run anywhere with docker