Polars is an extremely fast analytical query engine for DataFrames written in Rust, featuring multi-threaded execution and support for datasets larger than RAM.
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Ibis is a portable Python dataframe library that compiles a single dataframe API into SQL or native code for over 20 backends, including DuckDB, Polars, BigQuery, Snowflake and PostgreSQL. It supports lazy expressions, interactive exploration, and mixing Python with SQL.
TSP is a self-hosted, zero-ops A-share quantitative workbench offering stock screening, monitoring, backtesting, and an AI chat assistant, with pluggable multi-source data integration.
A sentiment analysis pipeline that classified 1.57M r/NBA Reddit comments from the 2024-25 season using Claude Haiku 4.5, ranking players by negative comment rate with a Streamlit dashboard and Flourish bar race.
Code repository for the third edition of Machine Learning for Trading by Stefan Jansen, covering an end-to-end workflow from data sourcing and feature engineering through models, backtesting, costs, risk and live execution, with nine case studies and companion Python libraries.