Docker in Ubuntu20.04

[XianxinMao]

docker install

Uninstall old versions

Older versions of Docker were called docker, docker.io, or docker-engine. If these are installed, uninstall them:

sudo apt-get remove docker docker-engine docker.io containerd runc

Install using the repository

Before you install Docker Engine for the first time on a new host machine, you need to set up the Docker repository. Afterward, you can install and update Docker from the repository.

Set up the repository

1. Update the apt package index and install packages to allow apt to use a repository over HTTPS:

sudo apt-get update
​
sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg \
    lsb-release

1. Add Docker’s official GPG key:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg

1. Use the following command to set up the stable repository. To add the nightly or test repository, add the word nightly or test (or both) after the word stable in the commands below.

echo \
  "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu \
  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

Install Docker Engine

1. Update the apt package index, and install the latest version of Docker Engine and containerd, or go to the next step to install a specific version:

sudo apt-get update
​
sudo apt-get install docker-ce docker-ce-cli containerd.io

1. Verify that Docker Engine is installed correctly by running the hello-world image.

sudo docker run hello-world

nvidia-docker install

Setting up Docker

Docker-CE on Ubuntu can be setup using Docker’s official convenience script:

curl https://get.docker.com | sh \
  && sudo systemctl --now enable docker

Setting up NVIDIA Container Toolkit

Setup the stable repository and the GPG key:

distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
   && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
   && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list

Install the nvidia-docker2 package (and dependencies) after updating the package listing:

sudo apt-get update
​
sudo apt-get install -y nvidia-docker2

Restart the Docker daemon to complete the installation after setting the default runtime:

sudo systemctl restart docker

At this point, a working setup can be tested by running a base CUDA container:

sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi

docker command

HOW TO CREATE A DOCKER IMAGE FROM A CONTAINER

The Docker create command will create a new container for us from the command line:

sudo docker create --name nginx_base -p 80:80 nginx:alpine

Inspect Images

sudo docker images -a

Inspect Containers

sudo docker ps -a

We will use the docker cp command to copy this file onto the running container

sudo docker cp index.html nginx_base:/usr/share/nginx/html/index.html

Create an Image From a Container

sudo docker commit nginx_base hi_mom_nginx

python install

sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt-get install python3.6

Change the Python3 default version in Ubuntu

sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.5 1
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.6 2
​
sudo update-alternatives --config python

python3-pip install

sudo apt install python3-pip
echo "alias pip=pip3" >> ~/.bash_aliases
source ~/.bash_aliases
alias pip='python3.6 -m pip'
pip install --upgrade pip