Python Data Pipelines in 2026 — Polars, Ibis, DuckDB, and the Practical Stack
Practical Python data: Polars for in-memory DataFrames, DuckDB for SQL on files, Ibis for portable expression API, and how to compose them.
Practical Python data: Polars for in-memory DataFrames, DuckDB for SQL on files, Ibis for portable expression API, and how to compose them.
Practical synthetic data: fine-tune training data, eval set generation, edge case enumeration, and the model-collapse / quality risks to watch.
Picking a workflow orchestrator in 2026. Argo Workflows for Kubernetes-native; Airflow for mature ETL; Dagster for data-aware orchestration; Prefect for Python-first. The decision matrix.