16 Docker#

Goal#

Prerequisites#

  • Basic collaboration account

  • Installed environment

Steps#

1. Introduction#

Docker is a platform that uses containerization to allow developers to package applications and their dependencies into a standardized unit called a container. Containers are lightweight, portable, and can run on any system that has Docker installed.

2. Setup#

### 2.1 Installing Docker

  1. Download Docker Desktop for your operating system from their website

  2. Install following the instructions

  3. Verify installtion running

docker --version

2.2 Basic Docker Concepts#

  1. Images: Read-only templates used to create containers. Images are built from Dockerfiles

  2. Containers: Running instances of images. Containers are isolated and portable.

  3. Dockerfile: A text file that defines the steps to create a Docker image.

  4. Docker Hub: A repository where Docker images are stored and shared.

3. Execution#

3.1 Basic Docker Commands#

  1. Check Docker installation: docker info

  2. Search for an image: docker search <image-name>

  3. Pull an image: docker pull <image-name>

  4. Run a container: docker run -it <image-name>

  5. List running containers: docker ps

  6. List all containers: docker ps -a

  7. Stop a container: docker stop <container-id>

  8. Remove a container: docker rm <container-id>

  9. List docker images: docker images

  10. Remove an image: docker rmi <image-name>

3.2 Creating a Dockerfile#

Create a file running touch <dockerfilename>and write it like:

# Use the official Python image from the Docker Hub
FROM python:3.9

# Set the working directory in the container
WORKDIR /<your-directory>

# Copy the requirements file into the container
COPY requirements.txt .

# Install the dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of your application code
COPY . .

# Command to run your application
CMD ["python", "your_script.py"]

3.3 Building and Running the Image#

docker build t <image-name> .

docker run -it <image-name> <command-to-run>

docker run -it dockerfile python new_script.py

Troubleshooting#

Visit the official Docker documentation.

Next Steps#

Next steps…