Py YAML

Py YAML:

PyYAML is a Python library for parsing and generating YAML (Yet Another Markup Language) data. YAML is a popular data serialization format that’s often used for configuration files.

Here’s a simple example of how to use PyYAML to load and dump YAML data:

First, you need to install the library. You can do this using pip:

pip install pyyaml

Then, you can use it in your Python script. Here’s an example of loading and dumping YAML data:

python

import yaml

# Define a YAML string
yaml_string = """
name: John Doe
age: 30
"""

# Load the YAML string as a Python dictionary
data = yaml.safe_load(yaml_string)

print(data)
# Output: {'name': 'John Doe', 'age': 30}

# Now let's change the age
data['age'] = 35

# And dump the Python dictionary back into a YAML string
new_yaml_string = yaml.safe_dump(data)

print(new_yaml_string)
# Output:
# age: 35
# name: John Doe

In this example, yaml.safe_load() is used to convert a YAML string into a Python dictionary, and yaml.safe_dump() is used to convert a Python dictionary back into a YAML string.

Note: You should always use yaml.safe_load() instead of yaml.load() unless you absolutely trust the input and the environment, as yaml.load() could execute arbitrary Python code in the loaded YAML.

For working with YAML files, you would use something like this:

python

import yaml

# Load data from a YAML file
with open('file.yaml', 'r') as file:
    data = yaml.safe_load(file)

# Now you can work with `data` as with a normal Python dictionary

# To save data to a YAML file, you can do the following
with open('new_file.yaml', 'w') as file:
    yaml.safe_dump(data, file)

In these examples, the data is read from ‘file.yaml’ and written to ‘new_file.yaml’. Replace these with your actual file paths.

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Py YAML

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