🍿 The Final Python Snack of the Year

Docker packages your applications with its dependencies into a container, ensuring it runs consistently across different computing environments.

A Dockerfile defines what this environment looks like. Running this Dockerfile creates an image. When the image is run, it creates a container, where your application can run independently of the operating system you’re working on.

Below is a sample Dockerfile to create an image with Python 3.12 on it:

# Python 3.12 as the parent image
FROM python:3.12

# Set the working directory in the container
WORKDIR /usr/src/app

# Copy any files you want into this directory from your local machine.
COPY . .

# Make port 80 available to the world outside this container
EXPOSE 80

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

Copy and paste this into a project that you are working on, then in the command line run the following commands to build and run:

>>> docker build -t python-image .
[+] Building 0s (0/6)   

... [output suppressed] ...

>>> docker run -p 4000:80 python-image

... [output suppressed] ...

This week’s challenge uses the above Dockerfile. You will need to modify it to suit your needs. See if you can run a simple application:

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