Overview⚓

Extended Data Types extends Python’s standard data types with additional methods and utilities to simplify common tasks. It includes features like:

  • Base64 encoding and decoding: Efficiently encode and decode data to and from Base64 format.

  • Import utilities: Convert data to and from various formats such as JSON and YAML.

  • Export utilities: Convert data to and from various formats such as JSON and YAML.

  • File path manipulation and validation: Manage and validate file paths with ease.

  • Extended string manipulation functions: Perform advanced string operations.

  • YAML utilities: Handle custom data structures within YAML.

  • List utilities: Simplify list operations such as filtering and flattening.

  • Map utilities: Enhance dictionary operations with additional functionalities.

  • Matcher utilities: Improve matching capabilities for various use cases.

  • Stack utilities: Access and filter stack frames.

  • Nothing utilities: Work with empty and non-empty values seamlessly.

Usage Examples⚓

Here are a few examples to get you started:

### Base64 Encoding and Decoding

from extended_data_types import base64_encode

encoded = base64_encode("Hello, World!")
print(encoded)  # Encoded Base64 string

### Exporting Data

from extended_data_types import wrap_raw_data_for_export

data = {"name": "John", "age": 30}
wrapped_data = wrap_raw_data_for_export(data)
print(wrapped_data)  # Wrapped data ready for export

### File Path Validation

from extended_data_types import is_url

url = "https://example.com"
print(is_url(url))  # True

### String Manipulation

from extended_data_types import sanitize_key, truncate

key = sanitize_key("Some Key With Spaces")
truncated = truncate("This is a very long message", 10)
print(key)        # Output: Some_Key_With_Spaces
print(truncated)  # Output: This is a...

### YAML Utilities

from extended_data_types import decode_yaml, encode_yaml

yaml_data = """
name: John
age: 30
"""
data = decode_yaml(yaml_data)
print(data)  # Output: {'name': 'John', 'age': 30}

encoded_yaml = encode_yaml(data)
print(encoded_yaml)  # Encoded YAML string