In which Mike learns the basics of fastapi.

This solution is built in a Docker container using the base image python:3.8.0-buster and installing addition python packages fastapi and uvicorn. The Dockerfile included in this project will recreate the environment. To execute the solution, run the command:

docker container run -it -v <path_to_solution>:/data p3000:3000 -rm <image>

This will run a bash shell from which you can launch the solution with the following:

./launch.sh

You can then execute curl commands or use another client to send requests.

The first tutorial is from https://fastapi.tiangolo.com/tutorial/intro/.