The way to get our Python code running in a container is to pack it as a Docker image and then run a container based on it.

To generate a Docker image we need to create a Dockerfile that contains instructions needed to build the image. The Dockerfile is then processed by the Docker builder which generates the Docker image. Then, with a simple docker run command, we create and run a container with the Python service.

An example of a Dockerfile containing instructions for assembling a Docker image for Python service installing finta is the following

# set base image (host OS)
FROM python:3.8

# install dependencies
RUN pip install finta

# command to run on container start
CMD [ "python", "-V" ]

For each instruction or command from the Dockerfile, the Docker builder generates an image layer and stacks it upon the previous ones. Therefore, the Docker image resulting from the process is simply a read-only stack of different layers.

docker build -t myimage .

Then, we can check the image is in the local image store:

docker images

Please refer to the freqtrade DockerFile https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile