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Paperback
March 2022
9781683928140
More details
- Publisher
Mercury Learning and Information - Published
16th March 2022 - ISBN 9781683928140
- Language English
- Pages 292 pp.
- Size 6" x 9"
$41.95
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March 2022
9781683928126
More details
- Publisher
Mercury Learning and Information - Published
9th March 2022 - ISBN 9781683928126
- Language English
- Pages 292 pp.
- Size 6" x 9"
$41.95
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March 2022
9781683928133
More details
- Publisher
Mercury Learning and Information - Published
9th March 2022 - ISBN 9781683928133
- Language English
- Pages 292 pp.
- Size 6" x 9"
$109.95
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
1: Introduction to RDBMS and MySQL
2: Working with SQL and MySQL
3: Joins, Views, and Subqueries
4: Assorted SQL Functions
5: NoSQL, SQLite, and Python
6: Miscellaneous Topics
Appendix: Introduction to Probability and Statistics
Index
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
Computer Science; Data Analytics; Programming; Machine Learning; Developers; SQL