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