Develop problem-solving and debugging skills essential for coding interviews.

Apply algorithmic thinking to real-world tasks, writing efficient and readable Python code.

Strengthen confidence in data-driven programming and technical interview readiness.

Implement core data structures like arrays, stacks, queues, and linked lists from scratch in Python.

Understand algorithm efficiency and analyze code performance using Big-O notation.

Build and compare sorting and searching algorithms including merge, quick, and binary search.

Design and implement trees, heaps, hash tables, and other advanced data structures.

Use Python’s built-in tools effectively, such as heapq, deque, and sorted().