Data Structures from Scratch: Implementing the ArrayList

Many developers use built-in list structures daily without understanding how they manage memory under the hood. Mastering the underlying mechanics of dynamic arrays is the first step toward writing highly efficient, optimized code and passing technical interviews. This course guides you through the foundational concepts of memory management, array indexing, and algorithmic complexity. You will transition from simply using collections to deeply understanding how they allocate space and execute operations. By reading this course, you will learn to: * Understand how computer memory stores and accesses sequential data structures. * Implement core list operations including get, push, pop, insert, and delete from scratch. * Manage dynamic resizing, capacity scaling, and memory allocation strategies. * Analyze the time and space complexity of array operations using Big O notation. * Apply modern clean-code practices, including type safety and error handling, to your implementations. * Compare the performance trade-offs between static arrays, dynamic arrays, and linked lists. We begin with essential computer science definitions and memory layout basics before walking step-by-step through the logic of manual memory allocation and pointer arithmetic. This structured text-only guide is designed for beginner programmers and self-taught developers who want to strengthen their computer science fundamentals without complex mathematical prerequisites. Start reading today to demystify data structures and write more efficient code.