An educational repository teaching supervised machine learning from first principles using Python, covering mathematical foundations and practical implementations.
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A little curiosity. A world of open source.
THE FIRST COLLECTIONThis repository hosts the Chinese translation of "Python for Data Analysis, 2nd Edition" by Wes McKinney, covering Python 3.6, NumPy, pandas, StatsModels, and scikit-learn, with online reading and code guidance.
Dask is a flexible parallel computing library designed for analytics and task scheduling.
ABU Quantitative Trading System is an open-source Python framework for quantitative investment, supporting US stocks, A-shares, HK stocks, futures, options, and Bitcoin. It features backtesting, position management, and machine learning optimization.
High-performance geospatial imagery I/O library supporting NITF, GeoTIFF, JPEG 2000, DTED. Rust core with Python bindings, cloud-native tile access via Zarr, and simple APIs for reading/writing imagery.