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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 2. Chapter 2: Loading Data into DuckDB FREE CHAPTER 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

Connecting to DuckDB in Python

When working with DuckDB in Python, the first thing to consider is how you’ll connect to a target DuckDB database from your Python code. Even though DuckDB runs embedded within a parent process, meaning that you don’t have to worry about authenticating to a remote server, you still need to consider how your Python process will make and manage connections to potentially multiple DuckDB databases.

In this section, we’ll be covering the two broad ways to issue commands to DuckDB databases in Python:

  1. Using the default in-memory database: This database is automatically created for you when you import the duckdb module. The default database provides a convenient way to quickly perform activities such as ad-hoc data analysis when you know you will only need a single database in your session. This is what you will connect to when you invoke a function from the duckdb module that interacts with a database, such as duckdb.sql() and...
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