Introduction to Linked Lists in Python

Data structures are the foundation of efficient programming. Understanding how different structures store and manage data is crucial for writing performant code. This course provides a clear, practical introduction to linked lists, one of the most essential concepts in computer science. By the end, you will be able to implement, traverse, and manipulate various types of linked lists using modern Python techniques, understanding exactly when they offer advantages over standard arrays. What you'll learn: * Understand the core components of linked lists, including nodes and pointers, and their role in dynamic memory allocation. * Implement singly, doubly, and circular linked lists from scratch using Python classes and appropriate type hinting. * Master essential operations like insertion, deletion, searching, and traversal for all linked list variations. * Apply Big O notation to analyze the time and space complexity of linked list operations versus array operations. * Practice solving common algorithmic problems using linked lists as the underlying data structure. We start with key terminology and definitions before moving into hands-on implementation exercises. The course progresses systematically, building up from basic node creation to complex list manipulation techniques and efficiency analysis. This course is designed for absolute beginners in data structures and Python programmers who want to deepen their foundational computer science knowledge. No prior experience with linked lists is required. Start building your mastery of fundamental data structures today.