Tutorials

These tutorials walk through complete analyses using Tafra, from loading data to producing results. Each uses inline numpy arrays so there are no external data dependencies.

Tutorial	Description
Iris Dataset	Group-by aggregation on the classic Iris flower measurements. Covers construction, column access, and group_by with multiple statistics.
Titanic Analysis	Survival analysis with missing-value handling via ObjectFormatter, transform to broadcast group stats, partition for parallel dispatch, and cross-tabulation.
Time Series	Datetime grouping patterns -- aggregate by year/month, partition for parallel forecasting, chunk for batch processing, and reassemble with Tafra.concat().

Prerequisites

All tutorials assume tafra and numpy are installed:

pip install tafra

No other packages are required.