🐍 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.

• 🔒 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.

from extended_data_types import base64_encode

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

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

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.

Contributions are welcome! Please see the Contributing Guidelines for more information.

Extended Data Types is written and maintained by Jon Bogaty.

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