Python YAML
Python YAML:
Python YAML is a module that allows you to work with YAML (YAML Ain’t Markup Language) files in Python. YAML is a human-readable data serialization format used for configuration files, data exchange, and other purposes.
To work with YAML in Python, you can use the PyYAML library, which provides functionality for parsing and creating YAML documents.
Here’s an example of how you can use PyYAML to load and parse a YAML file:
import yaml
# Load YAML file
with open('example.yaml') as file:
data = yaml.load(file, Loader=yaml.FullLoader)
# Access data in the YAML file
print(data['key1'])
print(data['key2'])
# Modify data
data['key1'] = 'new value'
# Save modified data to YAML file
with open('example.yaml', 'w') as file:
yaml.dump(data, file)
In this example, we first open the YAML file using open() and then use yaml.load() to parse its contents. The resulting data is stored in the data variable, which can be accessed like a regular Python dictionary.
You can modify the data as needed and then use yaml.dump() to write the modified data back to the YAML file.
Note that when using yaml.load(), it’s important to pass the Loader=yaml.FullLoader argument to ensure that the file is parsed safely without any security vulnerabilities.
Make sure you have the PyYAML library installed before running this code.
You can install it using pip:
pip install pyyaml
That’s a basic overview of how to work with YAML files in Python using the PyYAML library. You can refer to the PyYAML documentation for more advanced usage and options: https://pyyaml.org/wiki/PyYAMLDocumentation
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