12)The DSA Cheat Sheet: 11 Essential Pattern Tables (Time & Space Complexity Included)

I have compiled the essence of all 11 topics into a single Grand Unified Strategy Document. This is what students should print and stick on their walls 24 hours before their interview. “Students, stop memorizing code. Memorize the Pattern. If you know which tool to use, the code writes itself. Here is the decision matrix … Read more

10) The Complete Dynamic Programming Roadmap: 6 Patterns to Solve “Impossible” Problems (2026 Guide)

” I saved this for last because it is the Gateway to FAANG. In an interview, if you solve a Graph problem, you are a “Good Engineer.” If you solve a Hard DP problem, you are a “Top 1% Engineer.” Most students fail DP because they try to memorize solutions. We will teach State Transition … Read more

5)The Complete Heap & Priority Queue Roadmap: 7 Algorithms from Beginner to Expert (2026 Guide)

“Sorting takes O(N log N).” We all know that. But what if you don’t need everything sorted? What if you only care about the Top 10 users, or the Next urgent task? Sorting the whole dataset is a waste of resources. This is where the Heap (Priority Queue) shines. It allows us to extract the … Read more

6)The Complete Greedy Algorithms Roadmap: 8 Essential Patterns from Beginner to Expert (2026 Guide)

Greedy Algorithms are the “Smart Shortcuts” of Computer Science. While Dynamic Programming meticulously calculates every possibility ($O(N^2)$), a Greedy Algorithm makes the best local choice at every step ($O(N \log N)$ or $O(N)$) and hopes it leads to the global optimum. For top-tier interviews, you must know when to be greedy and when to stop. … Read more