Strengthen problem-solving and programming skills by learning advanced Python concepts such as file handling, JSON, modules, libraries, error handling, and object-oriented programming. Students learn to model real world objects and relationships, and apply these concepts through hands-on projects while learning to write more robust, organized, and reusable programs.

Students who have completed Intermediate Python or are comfortable with lists, strings, functions, and basic dictionaries.

• Recap of basics and intermediate topics
• Creating and using modules and Python's standard libraries (math, random, statistics)
• Writing clean, readable and well-organized code

• Reading and writing text files
• File modes: "r","w" and "a"
• Using context manager with with open()

• Introduction to JSON
• Saving and loading lists and dictionaries
• Working with nested data and json.dump() / json.load()

• Sets and set operations
• Tuples and immutable data
• Working with nested lists and dictionaries

• Try, except, finally blocks
• Common Python errors and debugging techniques
• Raising exceptions

• Keyword arguments and default values
• Global vs local scope
• Lambda functions
• List, dictionary and set comprehensions

• Classes and objects
• Attributes and methods
• Constructors __init__
• Small class-based program

• Inheritance, encapsulation, polymorphism
• Mini project using classes

• Projects combining files, OOP, libraries and comprehensions
• Examples: simple bank system, text analyzer with file input, mini inventory system

• Larger projects integrating multiple advanced concepts
• Examples: quiz game with file based questions and score tracking, menu-driven program, advanced contact book using classes and comprehensions, text based adventure game with inventory