Software instalation is cumbersome for big projects, especially when it requires additional technical knowledge above pip install
.
One of the solutions is to pack the installed software version into big "zip" file with all its dependencies, additional configurations and even OS. This "zipping" idea is called docker.
Docker is a tool designed to package software into containers, effectively virtualizing the operating system. Each container acts as an isolated sandbox. Here I'm going to explain docker basics using the notes from Internet.
- https://www.youtube.com/@TechWorldwithNana/videos
- https://docker-curriculum.com/
- https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository
In the next sections you are going to read about docker images and docker containers.
A Docker image is a lightweight, standalone, and immutable file that contains the instructions and dependencies needed to create a Docker container.
- Purpose: It serves as a template for creating containers, similar to a snapshot of a virtual machine or a software package.
- State: Read-only and static.
A Docker container is an instance of a Docker image that runs as an isolated and executable unit of software.
- Purpose: It is used to run applications or services, encapsulating the environment in which they run.
- State: Read-write and dynamic; changes can be made during runtime.
- Image: Blueprint/template (read-only, static).
- Container: Running instance based on the image (read-write, dynamic). "zipped" software, e.g python application, or python as a language, or OS, like Linux.
Containers can be stacked on top of each other like LEGO building blocks. First, consider an OS container as the ground floor, Ubuntu for example. Then, a Python container serves as the first floor, and on the top, your Python application acts as the second floor.
The containerisation idea has become so popular that there are plenty of web pages with many already built images for you, like https://hub.docker.com/. In all of these cases there is no need to build everything from the ground, it's already there. A container on the top of the stack knows which container to pull next in this "chain reaction". And if you want to build your own image and container, the good starting point is to use one of these ones from the picture above.
Let's go step by step and learn how to use them. In the following pages we are going to discuss
- Installation
- Using Python in the container
- Install and use numpy in the python container
- Build your own container with all the required packages installed
- Setting up a docker repo and installing the Docker packages:
sudo apt-get update
sudo apt-get install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc
echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
- Verify that the Docker Engine installation is successful by running the hello-world image
sudo docker run hello-world
After the first run on my machine I got the following
Unable to find image 'hello-world:latest' locally latest: Pulling from library/hello-world c1ec31eb5944: Pull complete Digest: sha256:1b5a981c857d64321e97cbadf20b183e3c2814ee68315f42011e057d2ac467e9 Status: Downloaded newer image for hello-world:latest
Hello from Docker! This message shows that your installation appears to be working correctly.
To generate this message, Docker took the following steps:
- The Docker client contacted the Docker daemon.
- The Docker daemon pulled the "hello-world" image from the Docker Hub. (amd64)
- The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading.
- The Docker daemon streamed that output to the Docker client, which sent it to your terminal.
To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash Share images, automate workflows, and more with a free Docker ID: https://hub.docker.com/ For more examples and ideas, visit: https://docs.docker.com/get-started/
Congratulations, docker is installed on your machine.
Execution command might not simply run without sudo
docker ps # Process Status lists all the containers
gives the error
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json": dial unix /var/run/docker.sock: connect: permission denied
The problem can be solved with creating a group with permission rights.
sudo usermod -aG docker YOUR_USERNAME # username can be found with `whoami` command
newgrp docker
now the command should work
docker ps
Next:
Docker page 2. Using Python in the container
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