Python Data Structures and Algorithms from Scratch

Choosing the right way to organize information is the foundation of writing efficient, professional software. Understanding how data structures work under the hood allows you to solve complex computational problems with confidence. In this text-based course, you will journey from the absolute basics of data organization to constructing your own custom data structures in Python. You will learn to evaluate code performance using Big O notation and implement robust, readable code using modern Python standards. What you'll learn: - Learn foundational computer science terminology, including memory allocation, time complexity, and space complexity. - Implement custom linear data structures such as stacks, queues, and linked lists from scratch. - Build non-linear data structures including binary search trees, heaps, and graphs to manage complex relationships. - Apply modern Python features like type hinting and object-oriented programming to write clean, maintainable structural code. - Analyze algorithm performance using Big O notation to make informed design decisions. - Practice verifying the correctness of your data structures using standard testing principles. The course begins with core definitions and Python's built-in data types, then transitions into object-oriented concepts before guiding you through the step-by-step construction and analysis of advanced user-defined structures. This course is designed for beginner programmers and self-taught developers who want to strengthen their computer science fundamentals without any prior algorithm experience. Start reading today to build a solid foundation in Python data structures.