What you'll learn

Advanced Python explores complex programming concepts that enhance efficiency, scalability, and maintainability. It covers topics such as decorators, generators, context managers, metaclasses, concurrency with asyncio, memory optimization, and advanced object-oriented patterns. Learners practice building modular architectures, integrating external APIs, and writing high-performance data pipelines. Through solving real-world problems, students strengthen debugging, testing, and profiling skills. By the end, they can design reusable abstractions, manage asynchronous workflows, and optimize execution across diverse environments. These capabilities empower developers to build robust applications, improve code quality, and confidently navigate sophisticated software ecosystems.

  • Deep dive into data types & memory model, Mutable vs immutable behavior,
  • Advanced slicing & comprehensions, Lambda functions, map, filter, reduce, Decorators (function & class-based),Decorators
  • Advanced OOP patterns, Dunder methods & operator overloading
  • Abstract classes & interfaces (abc module) Metaclasses & class customization
  • Custom exceptions,Logging techniques, Profiling & performance tuning
  • Context managers, Working with JSON, CSV, XML

Shallu Duggal
Assistant Professor

Assistant Prof. , SCA, LPU


Dr. Rishi Chopra
Associate Professor & Asst. Dean

COS of SCA, LPU