Introduction The analysis of algorithm in data structure is a fundamental concept in computer science. Whenever we solve a problem using a data structure, we design an algorithm for it. But writing an algorithm is not enough—we also need to measure its efficiency. This measurement is called analysis of algorithm, and it helps us understand…
When you open any database table, the first thing you notice are the column names. Those columns are what we call attributes. In simple words, attributes are just the pieces of information that describe something. If we are storing student details, then the student’s name, roll number, age, and course are all attributes. Without attributes,…
If you’ve ever sat with a Data Structures & Algorithms (DSA) – dynamic programming (DP) problem for hours, scratching your head, you’re not alone. Many students (including me, once upon a time) hear the word “DP” and think it’s some mystical topic that only experts can handle. But here’s the good news: DP isn’t magic….
If you’ve ever started preparing for data structures in coding interviews, you’ve probably heard this line a hundred times: “Master data structures.” At first, it might sound like another buzzword. But if you look closely, almost every coding question — whether it’s from Google, Microsoft, or even a startup — is built around data structures….
When you start stepping outside your normal programming classes, there’s one thing you’ll hear again and again — DSA (Data Structures and Algorithms). If you want to do well in coding contests or crack technical interviews, you can’t avoid it. But honestly, for most students, DSA feels like a huge mountain at the beginning. Arrays,…
