Guides

Task-oriented walkthroughs for specific behaviors and use cases. For class/method signatures, see the API Reference.

• CSV Engines & Rust Acceleration — Choosing between Polars, DuckDB, and PyArrow; the native Rust core.
• Handling Messy CSV — Fail-fast validation, lenient mode, comments, blank lines, legacy \r files, column normalization.
• Excel Worksheets & Options — Selecting sheets, exporting every sheet, Polars read-option passthrough.
• Parquet Options — Polars read/write option passthrough for Parquet.
• PDF Parsing — Choosing an engine, OCR fallback, image filtering, table detection, deduplication.
• Querying with DuckDB — Running SQL directly against CSV, Excel, and Parquet files.
• Polars to Pandas — Every path from a Datagrunt reader to pandas (or any Arrow-native tool).
• Concurrency & Environments — Multiprocessing, distributed runtimes, and concurrency limits for PDF parsing.