Advanced Python delves into the language’s deeper features to develop efficient, scalable, and maintainable applications. Key topics include decorators, generators, and context managers for clean and optimized code, and metaclasses and dynamic attributes for advanced object-oriented programming. It also covers concurrency and parallelism using threading, multiprocessing, and asynchronous programming to handle complex tasks efficiently. Advanced Python emphasizes memory management, performance optimization, and profiling techniques. Additionally, working with external libraries, APIs, and frameworks is explored for real-world applications in web development, data science, and automation. Mastery of these concepts enables developers to write high-performance and professional-grade Python applications.