Dumping and loading with YAML
The yaml.org web page states that:
YAML™ (rhymes with "camel") is a human-friendly, cross language, Unicode-based data serialization language designed around the common native data types of agile programming languages.
The Python Standard Library documentation for the json module states that:
JSON is a subset of YAML 1.2. The JSON produced by this module's default settings (in particular, the default separators value) is also a subset of YAML 1.0 and 1.1. This module can thus also be used as a YAML serializer.
Technically, then, we can prepare YAML data using the json module. However, the json module cannot be used to de-serialize more sophisticated YAML data. There are two benefits of YAML. First, it's a more sophisticated notation, allowing us to encode additional details about our objects. Second, the PyYAML implementation has a deep level of integration with Python that allows us to very simply create YAML encodings of Python objects. The drawback of YAML is...
