SQL Pocket Primer - Softcover

Campesato, Oswald

Softcover

ISBN 10: 1683928148 ISBN 13: 9781683928140

Publisher: Mercury Learning and Information, 2022

Synopsis

As part of the best-selling Pocket Primer series, this book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as the primary RDBMS. It includes Python-based code samples to access data from a MySQL table in a Pandas data frame and Java-based code samples for accessing data in a MySQL database, along with XML documents and JSON documents. The book also introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices. The final chapter of the book covers a diverse set of miscellaneous topics, such as normalization, schemas, database optimization, and performance. Numerous code samples and listings are included to support myriad topics. Companion files with source code and figures are available from the publisher.

FEATURES:

• Covers extensive topics related to SQL, using MySQL as the primary RDBMS

• Introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices

• Features companion files with source code and figures from the book

About this title

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Edition details

• Publisher: Mercury Learning and Information
• Publication date: 2022
• Language: English
• ISBN 10: 1683928148
• ISBN 13: 9781683928140
• Binding: Paperback
• Number of pages: 292