Data Structures using Python

Expectations and GoalsExpectations:Gain a strong foundation in data structures and algorithms using Python.Understand algorithmic complexity and write optimized, clean code.Solve real-world problems through rigorous hands-on practice.Implement and analyze arrays, linked lists, stacks, queues, trees, graphs, and hash tables.Master recursion, dynamic programming, greedy methods, and sorting/searching techniques.Be well-prepared for coding interviews and competitive programming.Goals:Master core Python concepts needed for DSA implementation.Learn efficient algorithms for data manipulation and problem-solving.Develop algorithm design skills using recursion, divide-and-conquer, and dynamic programming.Gain hands-on experience in graph and tree algorithms with practical insight.Build a mini-project to reinforce learning.Prepare for technical interviews through coding challenges and applied problem-solving.