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Getting Started with DuckDB

Getting Started with DuckDB

By : Simon Aubury, Ned Letcher
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Getting Started with DuckDB

Getting Started with DuckDB

5 (1)
By: Simon Aubury, Ned Letcher

Overview of this book

DuckDB is a fast in-process analytical database. Getting Started with DuckDB offers a practical overview of its usage. You'll learn to load, transform, and query various data formats, including CSV, JSON, and Parquet. The book covers DuckDB's optimizations, SQL enhancements, and extensions for specialized applications. Working with examples in SQL, Python, and R, you'll explore analyzing public datasets and discover tools enhancing DuckDB workflows. This guide suits both experienced and new data practitioners, quickly equipping you to apply DuckDB's capabilities in analytical projects. You'll gain proficiency in using DuckDB for diverse tasks, enabling effective integration into your data workflows.
Table of Contents (15 chapters)
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Working with the Python DB-API

The DuckDB Python client also provides another API for interacting with DuckDB databases: the Python DB-API. This is an interface that is compliant with the Python Database API Specification v2.0 (DB-API 2.0), which is described by PEP 249 (https://peps.python.org/pep-0249). The DB-API specification describes a standardized interface for accessing databases within Python, which has become a commonly used standard for Python database client packages. By encouraging conformity of API interfaces across different Python database libraries, Python code that targets this interface is more readily understood and more portable across databases, leading to a general increase in the availability of database connectivity in the Python ecosystem.

If you’re developing a Python application that will potentially need to connect to a range of data sources, you will likely want to use the DB-API where possible, as the use of a standardized interface will enable...

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Getting Started with DuckDB
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