Database Programming with PostgreSQL and Python

Integrating databases with backend code is a fundamental skill for modern software development. This course teaches you how to bridge the gap between Python and PostgreSQL, enabling you to build data-driven applications with confidence. You will start with the core concepts of relational databases, understand how Python communicates with database servers, and learn to write secure, efficient database operations. By reading through clear explanations and structured code examples, you will transition from writing basic SQL queries to managing complex database transactions directly inside your Python scripts. You will explore modern best practices, including connection pooling, writing clean SQL statements, and securing your applications against common vulnerabilities. What you'll learn: - Connect Python applications to PostgreSQL databases using the latest Psycopg package - Execute standard SQL queries, retrieve data, and handle database transactions safely - Prevent SQL injection attacks using parameterized queries and modern security practices - Manage database connections efficiently using context managers and connection pools - Map database records to clean Python data structures like dataclasses and type hints - Handle database errors and exceptions gracefully within your application code This course begins with essential database terminology and setup procedures before guiding you through hands-on connection management, data manipulation, and error handling. It is designed specifically for beginners who have a basic understanding of Python and want to learn database integration. No prior database administration experience is required. Start reading today to build robust, database-backed Python applications.