Starter Practice Checklist¶

Starting from this post, we will start a series of practice checklists for you to explore the use of Docker instead of just reading the words.

Level: Starter

Install Docker Engine¶

• Install Docker Engine

Basics: Operations¶

Learn the basic use of docker CLI and finish the official get-started.

• Docker CLI: pull, run, exec, push, commit, build .
• Docker Get Started: Orientation and setup | Docker Documentation

Exercise 1: Jupyter Lab Mission¶

In this section, a jupyter lab image is used to start the container running jupyter lab server. The server can be access by the host’s port with port mapping.

Then build an image using the jupyter lab image as the base image, and pre-install pandas in the image.

Practice¶

• Pull Jupyter Lab Image
• Run a Jupyter Lab Container with Port Mapping
• Access Jupyter Lab from Laptop Browser
• Install Packages, e.g. pandas
• Mount Local File System Volumes to the Container
• Build an Image from Jupyter Lab Image with pandas pre-installed.
• Run the Image Built Above, and Access the Jupyter Lab Web Interface.

Reading: Build Image¶

• Build a Python Image: What will you learn in this module? | Docker Documentation
• Dockerfile Best Practice: Best practices for writing Dockerfiles | Docker Documentation
• Use ARG
  • docker build | Docker Documentation
  • Dockerfile reference | Docker Documentation

  • Docker ARG, ENV and .env - a Complete Guide · vsupalov.com

    

Exercise 2: Build Image¶

• Multi-Stage Builds
  • Use multi-stage builds | Docker Documentation