• Basics Of Python
  Use Pythonic syntax and idioms: control flow, loops/comprehensions, slicing, exceptions, modules/packages, and virtual environments.

• Data Structures
  Select and implement lists, tuples, dicts, sets, heaps, queues, and collections/itertools utilities with attention to time/space complexity.

• Framework
  Apply core concepts from popular frameworks (e.g., Flask/Django for web, FastAPI for services) including routing, request handling, config, and testing.

• Function
  Write clean, reusable functions with default/keyword-only args, *args/**kwargs, decorators, higher-order functions, and solid docstrings/type hints.

• Threading
  Work with threading and the GIL; know when to use threads vs. processes vs. asyncio. Coordinate with Locks/Queues and avoid race conditions.

• Variables
  Manage scope and lifetime (global/nonlocal), mutability, name binding, and typing (typing module, dataclasses) for safer, clearer code.

This is where Pythonic style meets real-world problem solving—where choices about structure and libraries directly impact maintainability and performance.