Let’s face it—algorithms can be intimidating. But understanding them, even at a basic level, gives you a serious edge in problem-solving and coding interviews. Take sorting, for instance. It’s more than just arranging numbers—it's about choosing the most efficient path to get there. Among sorting techniques, merge sort stands out for its efficiency and elegance, especially in handling large datasets. If you’re diving deeper into data structures or prepping for tech interviews, grasping merge sort time complexity can help you understand performance trade-offs in real-world applications. Think of it as optimizing not just code—but your way of thinking.