Skip to main content

Complete Greedy Problems & Resources Guide

· 18 min read

Hey everyone! Greedy algorithms are one of the most elegant and intuitive problem-solving paradigms in computer science. I've spent years mastering greedy techniques for both interviews and competitive programming, and I want to share a complete guide that will transform how you approach optimization problems.

The key insight: Greedy algorithms are about making locally optimal choices that lead to globally optimal solutions. The challenge isn't implementation, it's recognizing when greedy works and proving correctness. Once you develop this intuition, you'll solve complex problems with surprisingly simple code.

Complete String Problems & Resources Guide

· 19 min read

Hey everyone! Strings are arguably the most frequently tested topic in technical interviews and competitive programming. I've spent years mastering string algorithms, and I want to share a complete roadmap that covers everything from basic manipulation to advanced pattern matching algorithms.

String problems aren't just about manipulating characters. They require understanding hashing, pattern matching, dynamic programming, sliding windows, two pointers, and even advanced algorithms like KMP, Z-algorithm, and suffix arrays. Master strings, and you'll have a massive advantage in any coding challenge.

Complete Array Problems & Resources Guide

· 18 min read

Hey everyone! Arrays are the foundation of data structures and algorithms. Every tech interview and competitive programming contest features array problems. I've spent years mastering array techniques, and I want to share a complete roadmap that will take you from basics to advanced patterns.

The key insight: Arrays aren't just about storing data sequentially. They're the building block for understanding space-time tradeoffs, prefix sums, sliding windows, two pointers, and countless optimization techniques. Master arrays, and you've mastered the foundation of algorithmic thinking.

Complete Binary Search Problems & Resources Guide

· 16 min read

Hey everyone! Binary Search is one of the most elegant and powerful techniques in DSA, yet it's often underestimated. I've spent considerable time mastering binary search for both tech interviews and competitive programming, and I wanted to share a complete guide that covers everything you need.

The key insight that changed everything for me: Binary Search isn't just about finding elements in sorted arrays. It's a problem-solving paradigm that applies whenever you can define a monotonic property (if something works for x, it works for all values greater/smaller than x). Once you understand this, you'll see binary search opportunities everywhere.

11 Recursion and Backtracking Patterns for Interview Preparation

· 6 min read

Recursion and backtracking are fundamental techniques that unlock solutions to some of the most elegant algorithmic problems. While they can seem daunting at first, mastering these patterns through deliberate practice will transform you into a more versatile problem solver. This guide organizes essential LeetCode problems by pattern, helping you build intuition progressively.

Master Dynamic Programming - Complete Pattern Guide

· 10 min read

Hey everyone! Many of us struggle with Dynamic Programming and often skip it during interview preparation. This might be because DP seems vast and overwhelming, and people tend to memorize solutions instead of understanding patterns. However, if you break down DP into clear patterns and master each one, it becomes much more manageable. So I've compiled a comprehensive list of patterns you should know for your interview preparation!