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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)
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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.csvfile will be automatically passed to the script as anENTRYPOINTargument