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Applied Data Science Coding Recipes: Python and RDBMS

Python and RDBMS (Relational Database Management Systems) are a powerful combination for working with data. RDBMS is a software that allows you to store, manage, and retrieve data in a structured way. Python provides several libraries that can be used to interact with RDBMS.

Python libraries that can be used to interact with RDBMS include:

SQLAlchemy: It is a powerful and flexible Object Relational Mapping (ORM) library that allows you to interact with RDBMS using Python objects.

PyMySQL: It is a simple library that allows you to connect to and interact with a MySQL database using Python.

psycopg2: It is a library that allows you to interact with a PostgreSQL database using Python.

These libraries allow you to connect to a RDBMS, execute SQL statements, retrieve data, and perform other operations.

You can use these libraries to create a connection to a RDBMS and execute SQL statements to retrieve data, insert, update or delete data in the RDBMS. These libraries also provide a way to interact with the RDBMS using Python objects, making it easier to work with data in a programmatic way.

In summary, Python and RDBMS are a powerful combination for working with data. RDBMS is a software that allows you to store, manage, and retrieve data in a structured way. Python provides several libraries that can be used to interact with RDBMS such as SQLAlchemy, PyMySQL, and psycopg2. These libraries allow you to connect to a RDBMS, execute SQL statements, retrieve data, and perform other operations. They also provide a way to interact with the RDBMS using Python objects, making it easier to work with data in a programmatic way.

In this Applied Machine Learning Recipe, the reader will learn: Python and RDBMS.

Applied Data Science Coding Recipes: Python and RDBMS

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.