pylib-serializer 0.1.0

Safe JSON/YAML serialization with circular-reference handling. Data processing utility.

pyserializer

Safe JSON/YAML serialization

Installation

pip install pyserializer

💡 Usage Examples

Basic Operations

from pylib_serializer import serialize, to_json, to_yaml

# Serialize to JSON
data = {"name": "John", "age": 30}
json_str = serialize(data)
# '{"name": "John", "age": 30}'

# Convert to JSON
json_output = to_json(data)

# Convert to YAML
yaml_output = to_yaml(data)
# 'name: John
age: 30'

AI/ML Use Cases

from pylib_serializer import serialize, to_json, to_yaml

# Serialize ML model predictions
predictions = {"class": "cat", "confidence": 0.95}
json_predictions = serialize(predictions)

# Save model config
config = {"model": "resnet50", "epochs": 100}
yaml_config = to_yaml(config)

📚 API Reference

See package documentation for complete API reference.

🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:

• Clear function names and signatures
• Comprehensive docstrings with examples
• Type hints for better IDE support
• Common use cases documented
• Zero dependencies for reliability

License

MIT