Welcome to the ML Engineering Interview Project! This project is designed to evaluate your Python programming skills across various areas.

First step is to setup environment, you can choose:

• use PDM to sync the environment
• use pip and requierements.txt

Please follow the steps below in the given order:

1. fix_error_exercise.py: Start with this exercise to demonstrate how you analyze and fix an error in the code. This will help us understand your debugging and problem-solving skills.

2. simple_inheritance.py: Proceed to this exercise to showcase your understanding of basic Object-Oriented Programming (OOP) concepts.

3. create_unit_test.py: In this step, we want to evaluate your ability to write unit tests. Please create appropriate tests for the provided code.

4. calculate_kpi.py: Finally, work on this exercise to demonstrate how you approach solving a problem and implement a solution.

5. Dockerfile: Complete the dockerfile to execute the calculate_kpi.py

Notes:

• It is expected that you comment your thought process as you work through the exercises. This will help us understand your reasoning and problem-solving skills.
• You are allowed to use external information (libraries documentation) and resources to complete the tasks.

Feel free to ask questions if anything is unclear. Good luck!