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Update requirements.txt
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requirements.txt

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# Core libraries for data manipulation and machine learning
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numpy==1.25.2 # Fundamental package for numerical computations
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pandas==2.1.0 # Data manipulation and analysis
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scikit-learn==1.3.1 # Machine learning library for Python
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joblib==1.3.1 # Lightweight pipelining in Python
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numpy==1.25.2 # Fundamental package for numerical computations
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pandas==2.1.0 # Data manipulation and analysis
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scikit-learn==1.3.1 # Machine learning library for Python
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joblib==1.3.1 # Lightweight pipelining in Python
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# YAML parsing
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pyyaml==6.0.1 # YAML parser and emitter for Python
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pyyaml==6.0.1 # YAML parser and emitter for Python
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# Web3 and smart contract interaction
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web3==6.1.0 # Ethereum blockchain interaction library
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solcx==1.2.0 # Solidity compiler for smart contracts
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web3==6.1.0 # Ethereum blockchain interaction library
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solcx==1.2.0 # Solidity compiler for smart contracts
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# Testing framework
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pytest==7.4.1 # Framework for testing Python code
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pytest==7.4.1 # Framework for testing Python code
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# NTRU library for quantum-resistant cryptography
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ntru==0.1.0 # NTRU encryption library for post-quantum security
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ntru==0.1.0 # NTRU encryption library for post-quantum security
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# Additional libraries for data visualization (optional)
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matplotlib==3.7.2 # Comprehensive library for creating static, animated, and interactive visualizations
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seaborn==0.12.2 # Statistical data visualization based on matplotlib
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matplotlib==3.7.2 # Comprehensive library for creating static, animated, and interactive visualizations
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seaborn==0.12.2 # Statistical data visualization based on matplotlib
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# Optional: dotenv for environment variable management
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python-dotenv==0.21.0 # For loading environment variables from a .env file
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# Additional libraries for enhanced functionality
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requests==2.31.0 # For making HTTP requests
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cryptography==39.0.1 # For secure data handling and encryption
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requests==2.31.0 # For making HTTP requests
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cryptography==39.0.1 # For secure data handling and encryption
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# Advanced data processing and analysis
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dask==2023.7.0 # Parallel computing with task scheduling for larger-than-memory computations
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xgboost==1.7.6 # Gradient boosting framework for machine learning
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dask==2023.7.0 # Parallel computing with task scheduling for larger-than-memory computations
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xgboost==1.7.6 # Gradient boosting framework for machine learning
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# Enhanced logging and monitoring
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loguru==0.6.0 # Simplified logging for Python with advanced features
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loguru==0.6.0 # Simplified logging for Python with advanced features
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# Asynchronous programming support
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aiohttp==3.8.5 # Asynchronous HTTP client/server framework
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aiohttp==3.8.5 # Asynchronous HTTP client/server framework
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# Data serialization and messaging
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protobuf==4.25.0 # Protocol Buffers for data serialization
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protobuf==4.25.0 # Protocol Buffers for data serialization

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