Building and using a Docker Image/Container This example helps you create an image that:

is based on Ubuntu 20.04 (It has Python 3 already installed) We will update Ubuntu and install the sklearn, pandas packages on it Write a Python script that receives a CSV file, perform some calculations on it and write the results into a results file (e.g. dataset.csv.out) This results file should be saved into our host machine (permanent) Let’s build our image (you can choose your own tag): $ docker build -t linreg .

and now we run the container passing it our dataset file and specifying the folder we want to the result to be stored in (using volumes): $ docker run -v /path/to/dockerfile/:/work/ linreg dataset.csv

This /path/to/dockerfile/ is the full path to your current directory on the host machine

This /work/ is the directory inside the container (the script will write the results there)

The dataset.csv file will be automatically passed to the script as an ENTRYPOINT argument