How to Parse YAML Files in Python: PyYAML, ruamel.yaml, and oyaml Explained?

Parsing YAML Files in Python

YAML (YAML Ain't Markup Language) is a popular data serialization format known for its readability and ease of use. Parsing YAML files in Python is a common task that can be accomplished with the help of third-party libraries.

PyYAML Library

The PyYAML library is a widely recognized tool for working with YAML in Python. It is simple to install using pip:

pip install pyyaml

To parse a YAML file using PyYAML:

import yaml

with open("example.yaml") as stream:
    try:
        data = yaml.safe_load(stream)
    except yaml.YAMLError as exc:
        print(exc)

The yaml.safe_load() function is used to safely load the YAML file, minimizing the risk of arbitrary code execution.

ruamel.yaml Library

For support with the YAML 1.2 specification, the ruamel.yaml library is recommended, as mentioned in the provided question.

oyaml Library

oyaml is a replacement for PyYAML that preserves YAML file ordering. It is another viable option for handling YAML files in Python.

Other Considerations

• Always prefer yaml.safe_load() over yaml.load() for security reasons.
• If YAML 1.2 support is required, consider using ruamel.yaml.
• oyaml can be used for preserving YAML file ordering by replacing PyYAML.

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