Recursion & Stack Overflow Explained Simply! Understanding these two concepts can level up your problem-solving skills in programming 💻 🔁 Recursion is when a function calls itself to solve smaller parts of a problem. It’s powerful and widely used in algorithms like trees, graphs, and backtracking. ⚠️ But here’s the catch… If recursion is not handled properly (missing a base case), it can lead to a Stack Overflow where too many function calls fill up memory and crash your program 💥 💡 Key Takeaways: ✔ Always define a base case ✔ Ensure your recursion moves toward it ✔ Avoid unnecessary deep recursion ✔ Be mindful of memory usage 🔥 Why it matters? Mastering recursion helps you think logically and write cleaner, more efficient code but only if you use it wisely! 💬 Have you ever faced a stack overflow error? What was the cause? #Programming #Flutter #Dart #Coding #SoftwareDevelopment #Recursion #StackOverflow #Developers #LearnToCode

Flatten Binary tree to linked list Approach: Do kind of post-order traversal ( right -> left -> root ) maintain a previous node go right (recursively) go left (recursively) make root->right point to previous and root->left point to null and update previous to root TC: O(N) SC: O(N) - recursive stack #DSA #programming #coding #buildinpublic #Technology #ProblemSolving #LeetCode #LearnInPublic  #Consistency

I used to think that functions were just a way to reduce lines of code… but they’re much more than that. Before using functions, my code was: Repetitive Hard to maintain And even a small change meant editing multiple places After I started using functions: I write the code once and reuse it The code became easier to read and understand Any change happens in one place only A simple example: Instead of repeating the same logic multiple times, I put it inside a function and reuse it whenever needed. Now I understand that functions are not just about reducing code… they’re about organizing it and making it cleaner and smarter. Still learning, but this step really made a difference for me 👌 💓 #Programming #Dart #LearningJourney #SoftwareDevelopment #Coding #OOP #flutter

Binary tree right side view Approach: - Keep a level variable - If level == result.size(), add current node (first node of that level) - Traverse right first, then left Time: O(n) Space: O(h) (worst: O(n), best: O(log n)) #Algorithms #DSA #LeetCode #coding #Programming

What are loops and when do I use them? Loops are used in programming to repeat a block of code multiple times without writing it again. They are helpful when you need to perform the same task repeatedly, such as going through a list of items or running a calculation several times. Instead of writing the same code many times, a loop handles it automatically until a condition is met. Common types include for loops and while loops. You use loops when working with arrays, counting, or processing data step by step. They make your code shorter, more efficient, and easier to manage. #webdeveloper #tech #coding #programming

51 of #100DaysOfCode Solved LeetCode 739 — Daily Temperatures using the Monotonic Stack approach 🔥 💡 Approach: Instead of checking every future day (which would be inefficient), I used a stack to store indices of temperatures in decreasing order. Traverse the array If the current temperature is higher than the one at the stack’s top, we’ve found the next warmer day Pop the index and calculate the difference Push the current index into the stack This ensures each element is processed only once — making it super efficient ⚡ ⏱️ Time Complexity: O(n) 📦 Space Complexity: O(n) #leetcode #coding #dsa #cpp #programming #developers #tech #interviewprep

Day 65 on LeetCode Sort Characters By Frequency 🔤📊✅ Today’s problem focused on combining hash maps with custom sorting. 🔹 Approach Used in My Solution The goal was to sort characters in a string based on their frequency in descending order. Key idea in the solution: • Use a hash map to count frequency of each character • Store (character, frequency) pairs in a vector • Apply custom sorting based on frequency (descending order) • Build the result string by repeating characters according to their frequency This approach efficiently organizes characters by importance (frequency). ⚡ Complexity: • Time Complexity: O(n log n) (due to sorting) • Space Complexity: O(n) 💡 Key Takeaways: • Practiced frequency counting using hash maps • Learned how to apply custom comparators in sorting • Reinforced building results based on frequency-driven logic #LeetCode #DSA #Algorithms #DataStructures #HashMap #Sorting #Strings #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

You want to crack tech interviews or build scalable systems, These 10 Data Structures are non-negotiable. #DataStructures #DSA #Programming #Coding #SoftwareEngineering #TechLearning #ComputerScience #Developers #CodingLife #LearnToCode

Binary search tree iterator Approach: BSTIterator - push all node's left to stack next - return the top element of stack and call pushAll function again to push all node's left if node has right hasnext - return whether the stack is non-empty TC: O(1) SC: O(h) - height of bst #dsa #leetcode #binarytree #programming #coding

Explain about a Depth-First Search (DFS)? Depth-First Search (DFS) is a graph traversal algorithm that explores as deep as possible along each branch before backtracking, utilizing a stack (or recursion) to keep track of nodes. It starts at a designated root node, marks nodes as visited to avoid cycles, and recursively visits unvisited neighbors. #DepthFirstSearch #DFS #DataStructures #Algorithms #GraphTheory #TreeTraversal #Coding #Programming #ComputerScience #Developer #SoftwareEngineering #LearnToCode #CodingInterview #ProblemSolving #AlgorithmDesign #DSA