Werezi Books

This practical book explains how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI. Author Wei-Meng Lee helps developers, data engineers, data analysts, and data scientists get started.

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It''s embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool.

Author Wei-Meng Lee takes developers and data professionals through DuckDB''s primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You''ll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.<>

Understand the purpose of DuckDB and its main functions

Conduct data analytics tasks using DuckDB

Integrate DuckDB with pandas, Polars, and JupySQL

Use DuckDB to query your data

Perform spatial analytics using DuckDB''s spatial extension

Work with a diverse range of data including Parquet, CSV, and JSON

Get DuckDB: Up and Running by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by O'Reilly Media and it has pages.

DuckDB: Up and Running : Fast Data Analytics and Reporting

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