Understanding Time and Space Complexity in DSA (Beginner-Friendly)

🧠 Introduction If you're starting your DSA (Data Structures and Algorithms) journey, you've probably heard how important Time and Space Complexity are. But what exactly do they mean, and why should you care? In this blog, we’ll break down these fundamental concepts in a simple and beginner-friendly way. Whether you’re solving coding problems, preparing for interviews, or just curious to know how efficient your code is— understanding complexity is key . When we write code, it's not just about getting the correct output. It's also about how fast our code runs (⏱ Time Complexity) and how much memory it uses (💾 Space Complexity). These two factors help us measure the performance of any algorithm. As someone who is learning DSA from scratch, I’m documenting my learnings here to help other learners like me. I’ve also included visual aids, relatable examples, and some notes from my college YouTube channel and trusted websites—so you’ll get a well-rounded understanding...