Docker

Dockerizing a Python Application⚑

This guide will walk you through the process of dockerizing a simple Python application.

Prerequisites⚑

• Docker installed on your machine.
• Basic knowledge of Python.

Step 1: Create a Python Application⚑

First, let's create a simple Python application that we want to dockerize. Let's call it app.py.

def main():
    print('Hello, Docker')

if __name__ == '__main__':
    main()

This application simply prints out 'Hello, Docker!' when run.

Step 2: Create a Dockerfile⚑

A Dockerfile is a script that contains collections of commands and instructions to create a Docker image.

In the same directory as your app.py, create a file named Dockerfile with the following content:

# Use an official Python runtime as a parent image
FROM python:3.9

# Set the working directory in the container to /app
WORKDIR /app

# Add the current directory contents into the container at /app
ADD . /app

# Run app.py when the container launches
CMD ['python', 'app.py']

This Dockerfile starts with a Python 3.9 base image, sets the working directory to /app, copies the current directory into the container, and finally runs the app.py script.

Step 3: Build the Docker Image⚑

Now, you can build the Docker image from the Dockerfile. Run the following command in the same directory as your Dockerfile:

docker build -t python-docker-demo .

This tells Docker to build an image from the Dockerfile and tag it with the name python-docker-demo.

Step 4: Run the Docker Container⚑

After the Docker image is built, you can run the Docker container with the following command:

docker run python-docker-demo

You should see 'Hello, Docker!' printed to your console.

Conclusion⚑

Congratulations! You have just dockerized a Python application. Docker allows you to package your applications with all of their dependencies into a standardized unit for software development, making your applications more reliable and easier to share and deploy.