Introduction to Relational Databases: A Practical Tutorial

Are you interested in learning about relational databases and how they work under the hood? Look no further! In this tutorial, we will dive into the fundamentals of relational databases and explore their theory, applications, and operations.

We will start by understanding the concept of a relation in a relational database and how it can be represented using a two-dimensional table. We will then explore the concept of normalization and the different normal forms that ensure data integrity and reduce redundancy.

Moving on, we will learn about the fundamental operations of relational algebra, such as projection, selection, and cartesian product. We will see how these operations can be performed in Python, allowing us to work with relational databases more effectively.

Next, we will take a hands-on approach and build a simple in-memory relational database from scratch using Python. We will implement basic operations like writing, reading, updating, and deleting data, giving you a practical understanding of how a database can be structured and manipulated.

Finally, we will touch on the importance of querying the database to retrieve meaningful data. We will discuss how queries can be made in Python using key-value pairs and explore the concept of database modification, including adding and removing datasets.

By the end of this tutorial, you will have a solid foundation in relational databases and the confidence to work with them. Whether you are new to databases or looking to expand your knowledge, this tutorial will equip you with the skills to build and manage relational databases effectively. So let's dive in and unlock the power of relational databases!