Arrays and Linked Lists: Choosing the Right Structure
Understand arrays and linked lists - the most fundamental data structures. Learn when to use arrays vs linked lists, their time complexities, and practical implementations. Essential knowledge for every developer.
Arrays and linked lists are the foundation of data structures. Understanding them deeply helps you understand everything else. Let's learn when to use each and why it matters.
Arrays Explained
Arrays store elements in contiguous memory. Accessing any element is instant (O(1)), but inserting or deleting in the middle is slow (O(n)). Arrays are perfect when you need fast random access.
Linked Lists Explained
Linked lists store elements as nodes connected by pointers. Inserting or deleting is fast (O(1) at known position), but accessing elements is slow (O(n)). Linked lists are perfect when you do lots of insertions and deletions.
When to Use Which?
Use arrays when you need fast access by index, know the size in advance, or need cache-friendly memory layout. Use linked lists when you do lots of insertions/deletions, size is unknown, or memory is fragmented.
Time Complexity Comparison
I'll show you the time complexities for common operations - access, search, insertion, deletion. Understanding these helps you choose the right structure for your problem.
Implementation Examples
I'll walk you through implementing both from scratch. Seeing how they work internally makes everything click.