Python and PostgreSQL Database Development

Moving beyond basic scripts requires a reliable way to store and manage information. This course provides a clear path for developers to bridge the gap between application logic and persistent data storage using PostgreSQL. You will transition from simple temporary storage to professional relational database management systems. Through written explanations and practical code examples, you will learn to structure data, write complex queries, and ensure your Python code interacts seamlessly with a database. You will explore how to model real-world relationships and handle data at scale while maintaining high code quality and performance. What you'll learn: - Understand foundational relational database concepts and core SQL syntax. - Create and manage PostgreSQL databases to store application data securely. - Connect Python to databases using modern drivers and asynchronous programming patterns. - Model complex data relationships including one-to-many and many-to-many structures. - Apply database migrations with tools like Alembic to update your schema reliably. - Perform advanced data analysis using window functions, grouping, and nested queries. - Practice writing clean, type-hinted Python code for robust database interactions. The course begins with an introduction to database theory and foundational definitions before moving into hands-on database design. You will then progress to advanced topics such as stored procedures, locking mechanisms, and optimizing connections for high-concurrency environments. This course is designed for beginners who have a basic grasp of Python and want to add professional database skills to their toolkit. No prior experience with SQL or PostgreSQL is required. Start building more powerful, data-driven Python applications today.