Table of Contents

Introduction

Installing Docker Desktop

Docker help

Running Jupyter Docker Stacks

Formatting Docker ps

Entering the Docker container and using bash

Stopping and removing containers and images

Connecting the local directory to a Docker container using the Docker volume

Inspecting a container

Getting started with Docker file

Publishing an image to Docker Hub

Conclusion

Introduction

_Docker simplifies and accelerates your workflow, while giving developers the freedom to innovate with their choice of tools, application stacks, and deployment environments for each project. — from _Developing with Docker

Docker provides a contained environment for your development. By using Docker, you may not need to install pyenv/pipenv/virtualenv or any programming languages on your computer. You just use a Docker container! In this article, you will learn how to run Jupyter on Docker.

Installing Docker Desktop

Install Docker Desktop and when you start Docker you will see an icon in the menu bar.

Docker menu on Mac. Image by Author

The Docker Preferences menu allows you to configure your Docker settings such as installation, updates, version channels, Docker Hub login, and more. Open Preferences and go to Resources to change CPUs, Memory, and other setups. By default, Docker Desktop is set to use half the number of processors available on the host machine.

Docker Preferences. Image by Author

You can read more details on this page for Mac, and Windows.

#docker #python #jupyter-notebook #data-science #containers