Load a YAML file and convert it to a Python object. Ideal for nested datasets since working with nested dictionaries is not user-friendly. Works with IDE auto-completion recommendation systems. The example below is loading a config file.

config.py

from pathlib import Path
import yaml

here = Path(__file__).resolve().parent

with open(here / './config.yaml', 'r') as stream:
    config_dict = yaml.safe_load(stream)


class Struct:
    def __init__(self, **kwargs):
        for key, value in kwargs.items():
            if isinstance(value, dict):
                self.__dict__[key] = Struct(**value)
            else:
                self.__dict__[key] = value


config = Struct(**config_dict)