10 posts tagged with "leetcode"

Hey everyone! Dynamic Programming is often considered the hardest topic in DSA, but it doesn't have to be. I've spent months working through DP problems for both tech interviews and competitive programming, and I wanted to share a complete guide that demystifies this topic.

The key insight that changed everything for me, DP isn't one giant topic, it's actually 15-20 clear patterns. Once you recognize these patterns, most DP problems become straightforward. This guide includes curated problem lists, the best learning resources, and proven roadmaps for both interview prep and competitive programming.

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.

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.

After posting graph and tree patterns, today I've curated 25 carefully selected Array problems covering every major pattern for interviews. Arrays are the most frequently asked topic in coding interviews.

I've curated 20 binary search problems that teach you all major patterns. These aren't random problems, they're specifically chosen to build your intuition for spotting binary search problems.

Trees show up in almost every technical interview. Not because interviewers are obsessed with them, but because tree problems reveal how you think recursively, manage state, and break down complex problems into simpler ones.

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.

I've curated 25 Stack, Queue, LinkedList problems that teach you all major patterns. These aren't random problems, they're specifically chosen to build your intuition for technical interviews.

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!

Welcome to the LeetCode pattern guide. Here we will discuss various patterns to solve problems.