Dockerize a Python application in 9 minutes

Zip file : https://drive.google.com/file/d/1pB6wK_1R6FesAKIl2Cn6ZXVFpJG_pH3H/view?usp=sharing
Google slide :
https://docs.google.com/presentation/d/1CVHahl-MTNG8U0EkEeCmlRu8qEVbr8S2B1wKjV-zLOc/edit?usp=sharing

Step 0 Prerequisites to follow the tutorial:
Install :
-Docker Desktop on Windows
-VScode
-Python 3
-Download the tutorial files (ZIP in the description)

Step 1 run the python application
-Presentation of the python-docker folder
-Download the Flask and Pandas libraries
-Run "/python-docker/app.py

Step 2 create the Docker image and run it
-Build the "python-docker" image
docker build --tag python-docker .
-Run the container
docker run -ti --publish 5000:5000 python-docker

Step 3 save the image and import it
-Save
docker save python-docker -o python-docker.tar
-Importation
docker load --input python-docker.tar

Step 4 use a volume to have persistent data
-Creating a "test" volume
-Modify the app.py/Dockerfile to link it to the volume in input and output (already done in python-docker-2)
-Localise the volume
cd \\wsl$\docker-desktop-data\version-pack-data\community\docker\volumes\test
-C/P inputs in the volume (use the .ps1 script)
-Build the image python-docker2
docker build --tag python-docker2 .
-Run the conteiner with
docker run -ti --publish 5000:5000 -v test:/app/data python-docker2