Time-Series Magic: The Polars join_asof (Merging Non-Exact Times)
In standard data (SQL), you join on exact matches (ID = ID). In time-series data (Finance, IoT), timestamps rarely match exactly, which is where Polars…
Polars for Finance: Calculating Technical Indicators (SMA, RSI)
Financial datasets are fundamentally time-series data, making execution speed and temporal memory alignment critical. This is especially true when working with Polars Finance Indicators, which…
