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Stop writing mid code. 💀 If you’re still using nested loops for every subarray problem, your runtime is literally crying. We’re moving from O(N^2) stress to O(N) energy with the Two Pointers glow-up. ⚡️ The TL;DR: •Two Pointers: Moving different directions (main character energy). •Sliding Window: For those continuous segments (no gatekeeping). Don't let your complexity be "too much." Check the slides to level up. 🧠 Practice challenge in the last slide! 📌 https://lnkd.in/gE4YJu4J #Coding #SoftwareEngineer #TwoPointers #LeetCode #GlowUp #ProgrammingTips #TechTok

Implement Circular Queue (LinkedList Version) class CircularQueue { int[] arr; int front, rear, size, capacity; CircularQueue(int cap) { capacity = cap; arr = new int[cap]; front = 0; rear = -1; size = 0; } boolean isEmpty() { return size == 0; } boolean isFull() { return size == capacity; } void enqueue(int x) { if (isFull()) { System.out.println("Overflow"); return; } rear = (rear + 1) % capacity; arr[rear] = x; size++; } int dequeue() { if (isEmpty()) { System.out.println("Underflow"); return -1; } int val = arr[front]; front = (front + 1) % capacity; size--; return val; } } #DSA #DataStructuresAndAlgorithms #Coding #Programmer #LeetCode #CodeEveryday #JavaDSA #CodingPractice #ProblemSolving #CP #CompetitiveProgramming #DailyCoding #TechJourney #CodingCommunity #DeveloperLife #100DaysOfCode #CodeWithMe #LearnToCode #GeekForGeeks #CodingMotivation

The scariest thing in programming isn't a syntax error. 👻 "My code doesn't work. I have no idea why." 😫 "My code works. I have no idea why." 😨 The second one is infinitely more terrifying. Tag a teammate who writes "magic code" that works but nobody understands how. 👇 #DeveloperLife #Coding #ProgrammerHumor #TechLife #SoftwareEngineering

The Requirement: Write an algorithm with O(log n) complexity. My Choice: nums.indexOf(target) The Result: Beats 100% runtime. 🤷♂️ Sometimes, the best engineering decision is just choosing the simplest tool for the job. 🚀 #LeetCode #SoftwareEngineering #WorkSmarter #TypeScript #Coding

Day 13/45: Remove K Digits 🚀 The Concept: 🛒 Imagine a Price Tag with a character limit. To get the lowest price, you don't just remove the biggest numbers—you remove the "peaks" that appear early on. What I Learnt: 🧠 Monotonic Stack: The best way to "look back" and remove larger numbers in O(n) time. Greedy Logic: Always prioritize fixing the leftmost digits to minimize the total value. How I Did It: 🛠️ Used a string-based stack to maintain an increasing order. Popped the stack when a smaller digit arrived. Handled leading zeros and empty results. Stats: 1ms (Top 75%) | Memory: Top 90%! #100DaysOfCode #LeetCode #Coding #CPP

When you look up a key in a Go map, it always returns a value, even if the key doesn't exist. Missing keys return the zero value for the type, which can be misleading since zero values are valid values in maps. The comma ok idiom solves this. Use `value, ok := map[key]` to get both the value and a boolean indicating whether the key exists. This is the standard pattern for safely checking map keys in Go. Follow me for more Go bytes #golang #golangtips #goprogramming #coding #softwaredevelopment

Syntax is temporary, but problem-solving skills are forever. Stop obsessing over the tool and start focusing on the outcome. 💻🚀 #SoftwareEngineering #Coding #TechTips #DeveloperMindset #CareerGrowth

Programming isn’t just typing lines of code it’s problem-solving, creativity, and building solutions that impact real lives. Every function, loop, and algorithm you write adds up to something bigger. Whether you’re a beginner debugging your first script or a pro architecting complex systems, your code has power. Master the logic. Write clean. Think ahead. Your skills today decide the innovations of tomorrow. #Programming #CodingLife #Developers #TechInnovation #CodeNewbie #SoftwareEngineering #LearnToCode #TechSolutions #CodeEveryday #ProgrammingTips

Queue Using Array (Circular Queue) class MyQueueArray { int[] arr; int front, rear, size, capacity; MyQueueArray(int capacity) { this.capacity = capacity; arr = new int[capacity]; front = 0; rear = -1; size = 0; } boolean isFull() { return size == capacity; } boolean isEmpty() { return size == 0; } void enqueue(int x) { if (isFull()) { System.out.println("Queue Overflow"); return; } rear = (rear + 1) % capacity; arr[rear] = x; size++; } int dequeue() { if (isEmpty()) { System.out.println("Queue Underflow"); return -1; } int value = arr[front]; front = (front + 1) % capacity; size--; return value; } int peek() { return isEmpty() ? -1 : arr[front]; } } #DSA #DataStructuresAndAlgorithms #Coding #Programmer #LeetCode #CodeEveryday #JavaDSA #CodingPractice #ProblemSolving #CP #CompetitiveProgramming #DailyCoding #TechJourney #CodingCommunity #DeveloperLife #100DaysOfCode #CodeWithMe #LearnToCode #GeekForGeeks #CodingMotivation

Compilers and interpreters: They both turn code into action, but the process differs significantly. This video breaks down the core distinctions between these two essential tools, exploring how each one translates instructions and manages execution. Understanding these differences unlocks deeper insights into software development. Curious to learn more? Subscribe and stay tuned for future explorations. #Compilers #Interpreters #Programming #SoftwareDevelopment #Coding