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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

To get the most out of this book

We have tried to make the material in this book accessible to a wide range of readers, however, we will be assuming that readers have a foundational understanding of data concepts. Ideally, you will have experience working with SQL, however, we do provide a short SQL primer in Chapter 1 for those in need of a refresher. We focus on using DuckDB with SQL for much of the book, though some chapters focus on using DuckDB with Python, and one using R. Having experience working with Python and R will help for these chapters, however, you should still find them accessible when diving into working with these languages for the first time.

Any common laptop or desktop machine should be suitable for working through the examples in this book.

Software/hardware covered in the book

Operating system requirements

The DuckDB CLI client

Windows, macOS, or Linux

The DuckDB Python client

The DuckDB R client

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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