python yaml standard library

Опубликовано: 02 Октябрь 2024
на канале: CodeStack

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YAML (YAML Ain't Markup Language) is a human-readable data serialization format commonly used for configuration files and data exchange between languages with different data structures. Python's standard library includes the yaml module, which provides a convenient way to work with YAML in your Python applications.
In this tutorial, we'll cover the basics of using the yaml module, including how to parse YAML documents and convert Python data structures to YAML.
Before you can use the yaml module, you need to make sure it is installed. You can install it using pip:
Let's start with a simple example of parsing a YAML document and converting it back to a Python data structure.
In this example, we use the yaml.safe_load() function to parse the YAML document into a Python data structure. The yaml.dump() function is then used to convert the Python data structure back to YAML. The default_flow_style=False argument is used to generate a more readable YAML output.
Often, YAML data is stored in external files. Let's see how to read YAML data from a file and parse it using the yaml module.
In this example, we use the open() function to read the contents of a YAML file ("example.yaml"). The rest of the process remains the same as in the previous example.
You can also write Python data structures to a YAML file using the yaml module.
In this example, we use the yaml.dump() function to convert the Python data to YAML and write it to a file ("output.yaml").
The yaml module in Python provides a simple and convenient way to work with YAML data. Whether you need to parse YAML documents or generate YAML from Python data structures, this standard library module makes the process straightforward.
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