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SQL Pocket Primer
Part of the popular Pocket Primer series, this book is primarily intended for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as their primary DBMS. It includes Python-based code samples for accessing data from a MySQL table in a Pandas data frame and Java-based code samples for accessing data in a MySQL database, as well as XML documents and JSON documents. The book also introduces NoSQL and provides an overview of MongoDB and SQLite, an open source relational DBMS available for mobile devices. The final chapter of the book covers a wide range of different topics such as normalization, schemas, database optimization, and performance. Numerous code examples and lists are included to support a variety of topics. Accompanying files with source code and figures are available from the publisher.
Part of the popular Pocket Primer series, this book is primarily intended for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as their primary DBMS. It includes Python-based code samples for accessing data from a MySQL table in a Pandas data frame and Java-based code samples for accessing data in a MySQL database, as well as XML documents and JSON documents. The book also introduces NoSQL and provides an overview of MongoDB and SQLite, an open source relational DBMS available for mobile devices. The final chapter of the book covers a wide range of different topics such as normalization, schemas, database optimization, and performance. Numerous code examples and lists are included to support a variety of topics. Accompanying files with source code and figures are available from the publisher.
