python-quantumflow 2.0.3

Python QuantumFlow: Advanced type conversion for Python

Python QuantumFlow

A next-generation type-and-data-flow framework for Python with a lightweight footprint.

Overview

Python QuantumFlow is a powerful yet lightweight framework that enhances Python's data flow capabilities with:

• Automatic type conversion with flow() and TypeFlowContext
• Function decorators for creating intelligent flows with @qflow
• Asynchronous operations with @async_flow
• Robust error handling with retry logic
• Beautiful terminal output with color and styling

Installation

pip install python-quantumflow

Features Comparison

Version 1.x vs Version 2.x:

Feature	python-typeflow V1	Python QuantumFlow V2
Type Conversion	Basic types only	Complex nested structures
Error Handling	Manual try/except	Automatic with @retry
Async Support	Limited	Full async/await with backpressure
Flow Composition	Manual chaining	Operator-based (>>, +, etc.)
Memory Usage	Moderate	Optimized with streaming support
Visualization	None	Interactive flow diagrams
CLI Tools	None	Complete development toolkit
Terminal Output	Plain text	Rich colors and animations
Testing Support	Minimal	Comprehensive mocking framework
Performance	Standard	Up to 3x faster

Quick Start

from python_quantumflow.core import flow, qflow

# Simple type conversion
numbers = [1, 2, 3, 4, 5]
str_numbers = flow(str)(numbers)
print(str_numbers)  # "[1, 2, 3, 4, 5]"

# Function decorator for automatic flow
@qflow
def process_data(items):
    return [item * 2 for item in items]

result = process_data(numbers)
print(result)  # [2, 4, 6, 8, 10]

Documentation

For detailed documentation and examples, visit:

• GitHub Repository
• API Reference

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Created with ❤️ by Magi Sharma