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1 | 1 | # Core libraries for data manipulation and machine learning |
2 | | -numpy==1.25.2 # Fundamental package for numerical computations |
3 | | -pandas==2.1.0 # Data manipulation and analysis |
4 | | -scikit-learn==1.3.1 # Machine learning library for Python |
5 | | -joblib==1.3.1 # Lightweight pipelining in Python |
| 2 | +numpy==1.25.2 # Fundamental package for numerical computations |
| 3 | +pandas==2.1.0 # Data manipulation and analysis |
| 4 | +scikit-learn==1.3.1 # Machine learning library for Python |
| 5 | +joblib==1.3.1 # Lightweight pipelining in Python |
6 | 6 |
|
7 | 7 | # YAML parsing |
8 | | -pyyaml==6.0.1 # YAML parser and emitter for Python |
| 8 | +pyyaml==6.0.1 # YAML parser and emitter for Python |
9 | 9 |
|
10 | 10 | # Web3 and smart contract interaction |
11 | | -web3==6.1.0 # Ethereum blockchain interaction library |
12 | | -solcx==1.2.0 # Solidity compiler for smart contracts |
| 11 | +web3==6.1.0 # Ethereum blockchain interaction library |
| 12 | +solcx==1.2.0 # Solidity compiler for smart contracts |
13 | 13 |
|
14 | 14 | # Testing framework |
15 | | -pytest==7.4.1 # Framework for testing Python code |
| 15 | +pytest==7.4.1 # Framework for testing Python code |
16 | 16 |
|
17 | 17 | # NTRU library for quantum-resistant cryptography |
18 | | -ntru==0.1.0 # NTRU encryption library for post-quantum security |
| 18 | +ntru==0.1.0 # NTRU encryption library for post-quantum security |
19 | 19 |
|
20 | 20 | # Additional libraries for data visualization (optional) |
21 | | -matplotlib==3.7.2 # Comprehensive library for creating static, animated, and interactive visualizations |
22 | | -seaborn==0.12.2 # Statistical data visualization based on matplotlib |
| 21 | +matplotlib==3.7.2 # Comprehensive library for creating static, animated, and interactive visualizations |
| 22 | +seaborn==0.12.2 # Statistical data visualization based on matplotlib |
23 | 23 |
|
24 | 24 | # Optional: dotenv for environment variable management |
25 | 25 | python-dotenv==0.21.0 # For loading environment variables from a .env file |
26 | 26 |
|
27 | 27 | # Additional libraries for enhanced functionality |
28 | | -requests==2.31.0 # For making HTTP requests |
29 | | -cryptography==39.0.1 # For secure data handling and encryption |
| 28 | +requests==2.31.0 # For making HTTP requests |
| 29 | +cryptography==39.0.1 # For secure data handling and encryption |
30 | 30 |
|
31 | 31 | # Advanced data processing and analysis |
32 | | -dask==2023.7.0 # Parallel computing with task scheduling for larger-than-memory computations |
33 | | -xgboost==1.7.6 # Gradient boosting framework for machine learning |
| 32 | +dask==2023.7.0 # Parallel computing with task scheduling for larger-than-memory computations |
| 33 | +xgboost==1.7.6 # Gradient boosting framework for machine learning |
34 | 34 |
|
35 | 35 | # Enhanced logging and monitoring |
36 | | -loguru==0.6.0 # Simplified logging for Python with advanced features |
| 36 | +loguru==0.6.0 # Simplified logging for Python with advanced features |
37 | 37 |
|
38 | 38 | # Asynchronous programming support |
39 | | -aiohttp==3.8.5 # Asynchronous HTTP client/server framework |
| 39 | +aiohttp==3.8.5 # Asynchronous HTTP client/server framework |
40 | 40 |
|
41 | 41 | # Data serialization and messaging |
42 | | -protobuf==4.25.0 # Protocol Buffers for data serialization |
| 42 | +protobuf==4.25.0 # Protocol Buffers for data serialization |
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