Day 97/100 – DSA Challenge 🚀 Topic: Z algorithm Key Learning: One powerful yet underrated technique is the Z Algorithm. What is the Z Algorithm? The Z Algorithm is a linear-time string matching algorithm that constructs a Z-array, where each element represents the length of the longest substring starting from that position that matches the prefix of the string. GitHub: <https://lnkd.in/dtek96E3> #100DaysOfDSA #ProblemSolving #LinkedInLearning #clanguage #coding #programming #developer #softwareengnieer #datastructure

** Golden Rule ** “Sorted + Pair OR Continuous Range = Two Pointers” This infographic is a quick cheat sheet to identify patterns instantly and apply the right technique . Mastering the Two-Pointer Approach in DSA. Which problem did you recently solve using two pointers? #DataStructures #Algorithms #DSA #CodingInterview #Programming #ComputerScience #TechLearning #ProblemSolving #Developers #CodingTips #byteXL

Day 99/100 – DSA Challenge 🚀 Topic: Variable Window Key Learning: So one of the most powerful techniques in problem-solving especially in DSA is the Variable Window (Dynamic Sliding Window). What is it? A method where we use two pointers to create a window that expands and shrinks dynamically based on a condition. Why is it important? It helps reduce time complexity from O(n²) → O(n) in many problems involving arrays and strings GitHub: <https://lnkd.in/dtek96E3> #100DaysOfDSA #ProblemSolving #LinkedInLearning #clanguage #coding #programming #developer #softwareengnieer #datastructure

55 of #100DaysOfCode: Today I dived into LeetCode 316 (Remove Duplicate Letters). This problem is a fantastic lesson in balancing multiple constraints: maintaining unique characters while ensuring the smallest lexicographical order. The Key Insight: Using a Monotonic Stack approach. The goal isn't just to remove duplicates, but to greedily decide whether to keep a character or pop it based on whether it appears again later in the string. Stack Logic: Pop elements only if they are larger than the current character AND guaranteed to appear later. #cpp #leetcode #programming #algorithms #datastructures #codingcommunity #100daysofcode

Day 1 of my C Programming Journey 🚀 Understanding how a program works behind the scenes 👨💻 A simple flow: Human (Programmer) → Compiler → Machine Code → Output The compiler plays a very important role by converting high-level language into machine language so that the computer can understand and execute it. Learning these basic concepts helps in building a strong foundation in programming. #Programming #CLanguage #Compiler #Coding #Learning #IT #SoftwareDevelopment

A simple yet powerful way to understand sorting fundamentals—Bubble Sort breaks complexity into small, iterative swaps, making algorithms easier to grasp and implement. #LinkedInLearning #Algorithms #DataStructures #Programming #SoftwareDevelopment #TechEducation #CodingBasics

Day 96/100 – DSA Challenge 🚀 Topic: KMP algorithm Key Learning: In the world of algorithms, pattern searching is a fundamental problem. One of the most efficient solutions to this is the Knuth–Morris–Pratt (KMP) Algorithm. What is KMP? KMP is a string matching algorithm used to find occurrences of a pattern within a text efficiently without rechecking characters unnecessarily. Instead of starting over after a mismatch, KMP uses previously matched information to skip redundant comparisons. Core Concept – LPS Array (Longest Prefix Suffix): For a given pattern, KMP builds an LPS array where: Each value represents the longest proper prefix which is also a suffix. GitHub: <https://lnkd.in/dtek96E3> #100DaysOfDSA #ProblemSolving #LinkedInLearning #clanguage #coding #programming #developer #softwareengnieer #datastructure

Day 98/100 – DSA Challenge 🚀 Topic: Sliding window Key Learning: The Sliding Window technique is a game-changer when working with arrays and strings. Instead of recalculating values for every subarray, it reuses previous results to achieve O(n) time complexity. Key Idea:Maintain a window of elements and slide it across the data while updating results efficiently. Types: Fixed Window – size remains constant Variable Window – size changes dynamically GitHub: <https://lnkd.in/dtek96E3> #100DaysOfDSA #ProblemSolving #LinkedInLearning #clanguage #coding #programming #developer #softwareengnieer #datastructure

Sharpen your problem-solving skills, one step at a time 💡 Removing duplicates from a sorted array is a classic—simple logic, powerful impact. Pause, think, and build the solution yourself before checking the answer! 🚀 #ProblemSolving #DataStructures #Algorithms #CodingSkills #TechTraining #LearnToCode #Programming #Developers

Cycle Sort is not just another sorting algorithm, it is provably impossible to do fewer writes. Period. Cycle Sort follows where each element belongs, places it, picks up the displaced one, and follows that element. It continues chain after chain until every cycle closes. This is group theory disguised as a sorting algorithm. By minimizing writes to memory, Cycle Sort achieves the theoretical lower bound, making it optimal for scenarios where write operations are expensive, such as flash memory or EEPROM storage. Every element moves directly to its final position with no unnecessary swaps, proving that sometimes the most elegant solution is also the most mathematically efficient. #CycleSort #Programming #CodingLife #TechEducation #Algorithms #SortingAlgorithm #GroupTheory #OptimalAlgorithm #MemoryEfficient #ComputerScience #WriteOptimized #AlgorithmDesign #Coding #Developer #TechLearning #DataStructures #ProgrammingLife #CodeSmart #AlgorithmArt #ProvablyOptimal