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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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Toc

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

Technical requirements

As we’re going beyond using the simple DuckDB CLI client, this chapter and the next have a bit more in the way of technical requirements than we’ve needed previously. This section will take you through the steps for getting an environment set up on your local machine, which you’ll need to work through the examples in this chapter. You’ll also need this for Chapter 8, where we’ll dive into using DuckDB with Python, as well as Chapter 11, where we’ll do some hands-on data analysis using DuckDB. We’ll go into some detail when describing these steps, however, you may also want to refer to some of the more comprehensive resources that we provide pointers to.

The requirements you’ll need to have set up, which we’ll go through shortly, are as follows:

  • A cloned copy of the GitHub repository for this book
  • A Python installation (version 3.7+)
  • A Python virtual environment with the required...
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