Python Data Structures and Algorithms: Learn Efficient Programming

Python Foundations for Data Structures

Build the Python programming basics needed to implement and work with data structures effectively.

Core Data Structures: Stacks, Queues, and Linked Lists

Implement and apply fundamental linear data structures using Python classes and understand their real-world use cases.

Trees, Heaps, and Hashing

Understand hierarchical and hash-based data structures and implement binary search trees, heaps, and hash maps in Python.

Sorting and Searching Algorithms

Implement and analyze classic sorting and searching algorithms, understanding when and why to choose each one.

Graph Algorithms and Greedy Strategies

Represent graphs in Python and apply BFS, DFS, and greedy algorithms to solve traversal and optimization problems.

Dynamic Programming and String Matching

Solve complex optimization problems using dynamic programming and implement efficient string matching algorithms.