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Getting Started with DuckDB

You're reading from   Getting Started with DuckDB A practical guide for accelerating your data science, data analytics, and data engineering workflows

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803241005
Length 382 pages
Edition 1st Edition
Languages
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Authors (2):
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Ned Letcher Ned Letcher
Author Profile Icon Ned Letcher
Ned Letcher
Simon Aubury Simon Aubury
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Simon Aubury
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: An Introduction to DuckDB FREE CHAPTER 2. Chapter 2: Loading Data into DuckDB 3. Chapter 3: Data Manipulation with DuckDB 4. Chapter 4: DuckDB Operations and Performance 5. Chapter 5: DuckDB Extensions 6. Chapter 6: Semi-Structured Data Manipulation 7. Chapter 7: Setting up the DuckDB Python Client 8. Chapter 8: Exploring DuckDB’s Python API 9. Chapter 9: Exploring DuckDB’s R API 10. Chapter 10: Using DuckDB Effectively 11. Chapter 11: Hands-On Exploratory Data Analysis with DuckDB 12. Chapter 12: DuckDB – The Wider Pond 13. Index 14. Other Books You May Enjoy

Working with the Relational API

DuckDB’s Relational API provides a convenient and effective Python interface for composing and working with DuckDB queries. It provides a flexible and efficient way to interact with DuckDB in Python and is especially well suited to interactive data analysis workflows.

The Relational API revolves around DuckDBPyRelation objects, which are more generally referred to as relations. You can think of a DuckDB relation as a representation of a DuckDB query. Relations do not contain data themselves but rather contain all the information about a query required for execution. Relations are lazily evaluated, which means that when you are working with them, nothing is run against the database until the result set for a query is needed, such as when you want to display their results interactively or when the full result set is materialized for loading into a table or exporting to a specific data format.

The laziness of DuckDB’s relations provides...

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