SQL Pocket Primer

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.
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
BRIEF TOC
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.

ABOUT THE AUTHOR
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. 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.

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ISBN-10

ISBN-13

9781683928140

Publisher

Mercury Learning

Price

12.11

File Type

PDF

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Oswald Campesato

Oswald is an education junkie: a former PhD Candidate in Mathematics (ABD) who has multiple MS and B ...

About the Author

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). --This text refers to the paperback edition.