Choosing the right data structure for your application

Level Up Your Coding Skills: Understanding the Sliding Window Algorithm The Sliding Window Algorithm is one of the most essential techniques for tackling array, string, and list problems efficiently. If you're interviewing or just want to write better code, this is a must-know! Core concepts in the video: ➡️ Why it matters: Learn how this algorithm drastically reduces time complexity (often from O(N^2) to O(N)) by avoiding redundant calculations. ➡️ What is it: It's essentially a sub-array or sub-string that "slides" through a data structure. ➡️ How it slides: We explore the key mechanics of adding elements to the right and dropping them from the left. ➡️ Fixed vs. Dynamic Windows: Understand the difference between finding a maximum sum of a fixed size 'k' (Fixed) versus finding the longest sub-string with no repeating characters (Dynamic). #SlidingWindow #Algorithms #DataStructures #CodingInterview #ProblemSolving #Programming #SoftwareDevelopment #ComputerScience #CodingTips #LearnToCode

On Day 302 of the coding journey, I'm sharing my solution to LeetCode Problem 528, "Random Pick with Weight." This problem requires designing a data structure for weighted random selection. My video provides a clear walkthrough of the optimal strategy: using a Prefix Sums array to map weights to cumulative ranges, then performing a fast Binary Search to find the corresponding index. This is a valuable skill for system design and advanced data structure implementation. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #PrefixSums

🔥 Day 70 of #100DaysOfCode 🔥 💡 Problem: Number of Steps to Reduce a Number to Zero – LeetCode ✨ Approach: A simple while loop logic — divide the number by 2 if it’s even, else subtract 1. Repeated until it hits zero. Clean, elegant, and lightning fast! ⚡ 📊 Complexity Analysis: Time Complexity: O(log n) – each division by 2 halves the number Space Complexity: O(1) – constant space ✅ Runtime: 0 ms (Beats 100%🔥) ✅ Memory: 41.95 MB 🚀 Key Takeaway: Sometimes, brilliance lies in simplicity — clear logic, powerful performance! #LeetCode #100DaysOfCode #ProblemSolving #CodingChallenge #Programming #DSA #LogicBuilding #Efficiency #CodeDaily #DeveloperJourney

On Day 304 of the coding journey, I'm sharing my solution to LeetCode Problem 852, "Peak Index in a Mountain Array." This problem is a great test of recognizing and leveraging the monotonic property inherent in the array's structure. My video provides a clear walkthrough of the Binary Search adaptation, which is a valuable skill for technical interviews and essential for solving problems in $O(\log N)$ time. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #Optimization

On Day 292 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 37, "Sudoku Solver." This problem is a textbook example of a constraint satisfaction problem solved via Backtracking. My video provides a clear walkthrough of the recursive logic and the crucial board validation steps, which is a valuable skill for advanced technical interviews and mastering recursive algorithms. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #Backtracking #300daysofcode

💡 Day 84 of My LeetCode Journey – Problem 1614: Maximum Nesting Depth of Parentheses Today’s problem tested my understanding of stack concepts and string traversal — determining how deeply parentheses are nested in a given string. 🧠 Concept: The idea is simple yet elegant: Traverse the string character by character. Use a counter to track the number of open parentheses (. Update the maximum depth whenever the count increases. Decrease the counter when a closing parenthesis ) appears. Example: "(1+(2*3)+((8)/4))+1" → Maximum depth = 3 ✅ Key Takeaways: Strengthened understanding of parentheses matching and depth counting. Improved ability to simulate stack behavior without extra space. Reinforced skills in clean logic implementation and iteration control. Small yet powerful problems like this sharpen clarity, precision, and logical thinking 🧩 #LeetCode #ProblemSolving #100DaysOfCode #DSA #CodingChallenge #Programming #LogicBuilding #Cplusplus #DailyCoding #LearningEveryday

🎯 Diving into the Command Pattern! Today I started learning about the Command Pattern from Head First Design Patterns, and it’s fascinating how elegantly it decouples the sender and receiver of a request. The idea is simple yet powerful — by encapsulating a request as an object, we can treat actions like data: 1. pass them around, 2. queue or log them, and 3. even undo them when needed! 🔄 It’s amazing how such patterns make our codebase more flexible, extensible, and easier to maintain — especially in real-world systems where we deal with lots of dynamic actions and user commands. Every new pattern feels like unlocking a new superpower for writing cleaner, smarter code! 💪 #CommandPattern #DesignPatterns #HeadFirstDesignPatterns #JavaDeveloper #SpringBoot #CleanCode #SoftwareEngineering #CodingJourney #LearningInPublic #Programming #Tech #Developers

In this program, I used a while loop to print numbers from 1 to 5 and calculate their total sum at the same time. 🔁 It’s a great example of how loops can perform multiple tasks — displaying numbers and performing calculations in one go! 🚀 ✨ Concepts Used: ➡️ Variable initialization (c = 1, sum = 0) ➡️ While loop condition (c <= 5) ➡️ Increment operators (c = c + 1, sum = sum + 1) ➡️ Output using printf() This simple logic builds the foundation for more complex algorithms in programming! 💪 #CProgramming #WhileLoop #CodingPractice #LearnToCode #ProgrammingBasics #CodeJourney #ProblemSolving 💻

Optimizing Path Traversal with Path Compression 🔄 Join Richard Feldman to demystify type inference by building it yourself. Implement the Hindley-Milner system, parse code, resolve scope, generate bytecode, and create a type system from scratch. https://lnkd.in/gQ2iHXFw #WebDev #Programming #Coding #LearnToCode #CompilerDesign