SQL: Pocket Primer - Brossura

Campesato, Oswald

Brossura

ISBN 10: 1683928148 ISBN 13: 9781683928140

Casa editrice: Mercury Learning & Information, 2022

Riassunto

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 availableon 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

Su questo libro

Informazioni sull?autore

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Dettagli dell'edizione

• Editore: Mercury Learning & Information
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1683928148
• ISBN 13: 9781683928140
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 290
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile