#Algorithms In Computer Science

Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming

Comment "Link" to get the links! You Will Never Struggle With Data Structures & Algorithms Again 🔗 Explore these free visualization tools: 1️⃣ visualgo.net 2️⃣ cs.usfca.edu 3️⃣ csvistool.com Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work. Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals. Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.

The best data structures and algorithms resources you need if you’re studying computer science #coding #learntocode #dsa #datastructuresandalgorithms #cs #computerscience #codingforbeginners

Prim's algorithm visualized! #algorithms #programming #computerscience

A visual look at how different algorithms actually run. Actual performance varies with input size, data patterns, and environment. #coding #dsa #datastructuresandalgorithms #learntocode #tech #programming #engineering #softwareengineer #reels #fyp #codingforbeginners #algorithms #timecomplexity

The 🐐 His name is Abdul Bari and he has a bunch of playlists on YouTube of his lectures teaching Computer Science and coding! The way he explains things is so clear and easy to understand! 💌SEND this to yourself or save it! ✅FOLLOW for more Computer Science tips! #computerscience #compsci #programming #coding #computersciencemajor

The best data structures and algorithms resources you need if you’re studying computer science #coding #learntocode #dsa #datastructuresandalgorithms #cs #computerscience #codingforbeginners #usemassive #faang #techjobs

If you want to start learning algorithms from zero, comment “algorithm” and I’ll send you the document I prepared If I started coding from scratch in 2026, I wouldn’t choose a programming language first. Because the most important thing in programming is logic, not the language. In this video, I talk about: What algorithmic thinking really means How to break problems into small, clear steps A simple real-life algorithm example Free resources to learn algorithms in 2026 Programming languages change. Logic doesn’t. If you’re: New to programming Confused about where to start Focused on building strong fundamentals this video is for you. . #algorithms#discover #scratchsoftware #softwarengineer

Comment “DSA” and I’ll send it. If you’re trying to truly understand algorithms and data structures, not just memorize them for interviews, you need to see how they work. I’ve put together a set of powerful visualization tools that make complex concepts click. This resource collection helps you: • Visualize sorting, trees, graphs, and pathfinding step by step • Understand time & space complexity intuitively • Strengthen your DSA foundation for interviews and real-world engineering • Learn by interacting, not just reading Stop guessing how algorithms behave. Start watching them run. Comment “DSA” and I’ll send the full list.

Ever wondered how a computer actually thinks?💭 I built one from scratch — on a breadboard. 🧵💻 Here’s how the magic happens, from binary to blinking LEDs. It’s not just wires… it’s logic, memory, and control in action. Follow along to see how computers work at the lowest level. ⚡️ #TheWiredJourney #BreadboardComputer #BenEaterInspired #HowComputersWork #LowLevelLogic #ComputerEngineering #DigitalLogic #BinaryLife #STEMReels #EngineeringStudent #TechExplained #BuildToLearn #ComputerArchitecture

When input size grows, not all algorithms survive. Let’s break it down properly 👇 🟢 O(n log n) Divide the problem (log n levels) Process all elements at each level (n) Total work = n × log n Scales well. Used in Merge Sort, Heap Sort. Efficient for large datasets. 🟡 O(n²) Nested loops. Every element compares with every element. n × n operations. Works fine for small inputs. Becomes slow quickly. 🔴 O(2ⁿ) Each step doubles the work. Recursive branching → explosion. Even n = 20 = 1,048,576 operations. Not scalable. 💡 Real Lesson: Smart developers analyze complexity before writing code. Save this for interviews. #viralreels #viralvideos #reels #instagood #dsa

What is an algorithm? 🤯 It’s not magic. It’s just step-by-step logic. Search, sort, recommend… this is what runs everything. Wether you are CS student, a junior or a senior engineer, learning algorithms + DSA is how you learn to actually solve real-world problems. 🚀