Python Linked Lists: Build Your Own Data Structures from Scratch

Understanding how data structures work under the hood is the key to writing efficient and elegant software. By building a linked list from scratch in Python, you will demystify memory management, pointers, and self-referential structures. This text-based course guides you through the fundamental theory of sequential data structures and shows you how to implement them step-by-step. You will move from conceptual understanding to writing clean, production-ready Python code. What you'll learn: - Understand core data structure terminology, including nodes, pointers, and head/tail references. - Implement singly and doubly linked lists from scratch using modern Python syntax and type hints. - Write robust methods for inserting, deleting, and searching elements within a list. - Apply modern Python features like dataclasses to simplify node representation. - Practice writing basic tests using pytest to verify your custom list implementation. - Analyze the time and space complexity of linked list operations using Big O notation. You will start with the essential theory of nodes and memory allocation before diving into hands-on code examples. Through clear written explanations and practical text-based exercises, you will construct a fully functional custom linked list library. This course is designed for beginner-to-intermediate Python developers who want to strengthen their understanding of computer science fundamentals. No prior knowledge of data structures is required. Start reading today to master one of the most fundamental data structures in computer science.