Intermediate Python: Data Handling, Databases, and Testing

Moving beyond basic Python syntax requires practical skills in structuring programs, handling real-world data, and ensuring code quality. This text-based guide bridges the gap between basic coding concepts and writing robust, maintainable Python applications. You will build confidence working with persistent storage, structured data formats, relational databases, and automated testing suites. The course emphasizes clean coding standards and modern development workflows through clear written explanations and practical code examples. What you'll learn: - Work with file input/output operations, text files, CSV records, and JSON payloads - Connect Python applications to relational databases using SQL queries and data models - Apply modern Python conventions including type annotations, dataclasses, and context managers - Write automated unit tests and test suites using the pytest framework - Handle complex exceptions, debug program flow, and manage runtime errors reliably - Organize modular code using virtual environments and package management tools The course begins with foundational concepts in file handling and data parsing before advancing to database integration, modern language features, and automated testing strategies. This course is designed for programmers who understand basic Python syntax and want to level up their development workflow. Start reading today to write cleaner, more resilient Python applications.