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Description:

extendeddatatypes 1.0.2

Extended Data Types

🐍 Supercharge your Python data types! 🚀

Extended Data Types is a Python library that provides additional functionality for Python's standard data types. It includes utilities for handling YAML, JSON, Base64, file paths, strings, lists, maps, and more.
Key Features

🔒 Base64 encoding and decoding - Easily encode data to Base64 format with optional wrapping for export.
📁 File path utilities - Manipulate and validate file paths, check file extensions, and determine encoding types.
🗺️ Extended map and list utilities - Flatten, filter, and manipulate dictionaries and lists with ease.
🔍 String matching and manipulation - Partially match strings, convert case, and validate URLs.
🎛️ Custom YAML utilities - Handle custom YAML tags, construct YAML pairs, and represent data structures.

Base64 Encoding
from extended_data_types import base64_encode

data = "Hello, world!"
encoded = base64_encode(data)
print(encoded) # Output: SGVsbG8sIHdvcmxkIQ==

File Path Utilities
from extended_data_types import match_file_extensions

file_path = "example.txt"
allowed_extensions = [".txt", ".log"]
is_allowed = match_file_extensions(file_path, allowed_extensions)
print(is_allowed) # Output: True

YAML Utilities
from extended_data_types import encode_yaml, decode_yaml

data = {"name": "Alice", "age": 30}
yaml_str = encode_yaml(data)
print(yaml_str)
# Output:
# name: Alice
# age: 30

decoded_data = decode_yaml(yaml_str)
print(decoded_data) # Output: {'name': 'Alice', 'age': 30}

For more usage examples, see the Usage documentation.
Contributing
Contributions are welcome! Please see the Contributing Guidelines for more information.
Credit
Extended Data Types is written and maintained by Jon Bogaty.
Project Links

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Stack Overflow)
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GitHub
Documentation
Changelog