requirements.txt

# Core libraries for data manipulation and machine learning
numpy==1.25.2          # Fundamental package for numerical computations
pandas==2.1.0          # Data manipulation and analysis
scikit-learn==1.3.1    # Machine learning library for Python
joblib==1.3.1          # Lightweight pipelining in Python

# YAML parsing
pyyaml==6.0.1          # YAML parser and emitter for Python

# Web3 and smart contract interaction
web3==6.1.0            # Ethereum blockchain interaction library
solcx==1.2.0           # Solidity compiler for smart contracts

# Testing framework
pytest==7.4.1          # Framework for testing Python code

# NTRU library for quantum-resistant cryptography
ntru==0.1.0            # NTRU encryption library for post-quantum security

# Data visualization libraries
matplotlib==3.7.2      # Comprehensive library for creating static, animated, and interactive visualizations
seaborn==0.12.2        # Statistical data visualization based on matplotlib

# Environment variable management
python-dotenv==0.21.0  # For loading environment variables from a .env file

# HTTP requests and secure data handling
requests==2.31.0       # For making HTTP requests
cryptography==39.0.1   # For secure data handling and encryption

# Advanced data processing and analysis
dask==2023.7.0         # Parallel computing with task scheduling for larger-than-memory computations
xgboost==1.7.6         # Gradient boosting framework for machine learning

# Enhanced logging and monitoring
loguru==0.6.0          # Simplified logging for Python with advanced features

# Asynchronous programming support
aiohttp==3.8.5         # Asynchronous HTTP client/server framework

# Data serialization and messaging
protobuf==4.25.0       # Protocol Buffers for data serialization

# Web framework for building APIs
fastapi==0.103.0       # FastAPI framework for building APIs with Python 3.6+ based on standard Python type hints
uvicorn==0.23.0        # ASGI server for running FastAPI applications

# Quantum computing libraries (optional)
qiskit==0.43.0         # Quantum computing framework for creating and running quantum circuits

# Machine learning and deep learning frameworks
tensorflow==2.14.0     # TensorFlow for machine learning and deep learning
torch==2.0.1           # PyTorch for deep learning applications
transformers==4.30.0   # Hugging Face Transformers for natural language processing

# Additional libraries for enhanced functionality
pydantic==1.10.7       # Data validation and settings management using Python type annotations
sqlalchemy==2.0.0      # SQL toolkit and Object-Relational Mapping (ORM) system for Python