Just shipped my latest project: Big O Visualizer! I've built this tool for understanding algorithm complexity through visualization - now live at https://lnkd.in/dCmk-QHg What it does: - Write code in JavaScript, Python, Java, C++, or Go - See real-time static code analysis with confidence scoring - Watch animated growth curves comparing O(1) through O(n!) complexity classes - Run your code to empirically validate theoretical analysis - Explore presets like Binary Search, Merge Sort, and Fibonacci Tech stack: Next.js 16, TypeScript, Tailwind CSS, Monaco Editor, Recharts Key features: - Dark/light mode with automatic theme detection - Responsive design for desktop, tablet, and mobile - Accessible UI with ARIA labels and keyboard navigation - 7 complexity classes visualized with interactive charts Check it out and let me know what you think! Always open to feedback and contributions. #SoftwareDevelopment #Algorithms #OpenSource #NextJS #TypeScript #Programming
Big O Visualizer: Interactive Algorithm Complexity Tool
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We published three technical articles about how SolverForge approaches constraint programming. 👉 The frontend story: Our quickstarts still use jQuery. Not because we haven't gotten around to modernizing—because transparency matters more than sophistication when you're teaching. When a developer opens devtools, they see exactly what's happening. No virtual DOM diffing, no state management abstractions, no build step artifacts. 👉 The backend story: SolverForge is written in Rust with a zero-erasure architecture. No Box<dyn Trait>, no Arc, no vtable lookups in hot paths. Every constraint compiles to specialized machine code. SERIO, our incremental scoring engine, recalculates only what changed—essential when evaluating millions of candidate moves per second. 👉 The practical story: A new Rust quickstart walks through employee scheduling from domain model to deployed solution, showing how the pieces connect. The ergonomics gap between Rust and Python is our current focus. We're addressing it from both directions: improving Rust's constraint DSL and building Python bindings that compile to the same native core. Links in the first comment! 👇
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Minimum Pair Removal in JavaScript 👉 Day 73 / Day 93 👈 22 🔥 Walkthrough (Step-by-Step Example) Let’s take the input: [4, 1, 2] Check if sorted → [4,1,2] is not non-decreasing. Find adjacent sums: (4+1 = 5), (1+2 = 3). Minimum sum = 3 at index (1,2). Replace pair → [4, 3]. Still not sorted. Next iteration: (4+3 = 7). Replace → [7]. Now sorted (single element). 👉 Total operations = 2. While the solution works, it has a time complexity of O(n²) due to repeated scans and splice operations. #JavaScript #TypeScript #FrontendDevelopment #WebDevelopment #Coding #Programming #SoftwareEngineering #DeveloperCommunity #ProblemSolving #Algorithms #DataStructures #Recursion #CodeChallenge #TechLearning #CleanCode #PerformanceOptimization #UIUX #WebApps #Innovation #LearningInPublic #100DaysOfCode #AngularDevelopers #FrontendEngineer
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Turning concepts into working code is the best way to learn. So I built a frontend web application using HTML, CSS, and JavaScript, along with a dummy Python backend server to simulate real backend behavior. What I learned from this project: - DOM manipulation and event handling - Structuring frontend code - How frontend communicates with backend - Handling basic requests using Python This project helped me understand how individual technologies come together to form a complete web application. I’m planning to extend this further using real APIs and databases. I’d really appreciate feedback and suggestions from the community. Tech Stack: HTML | CSS | JavaScript | Python #WebDevelopment #FrontendDeveloper #JavaScriptProjects #PythonLearning #BTechStudent #LearningByBuilding
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We’ve all stared at the screen, ready to blame the compiler, the framework, or the universe for a broken feature. The sheer frustration of debugging complex logic, only to realize hours later... you never actually called the function. 🤦♂️ In Software Engineering, we often fall into the trap of over-engineering the problem before validating the basics. We look for deep architectural failures when the reality is often a missing semicolon, a typo, or an uncalled function. Two strategies I use to avoid this specific flavor of burnout: Always assume the error is simple and user-generated before assuming it’s complex and systemic. Explain your code line-by-line out loud. You’ll usually catch the "obvious" mistake before you finish the sentence. Sometimes, the most sophisticated problem-solving tool is just slowing down. What is the most embarrassing "simple" bug that kept you stuck for hours? Let’s comfort each other in the comments. 👇 #SoftwareEngineering #DeveloperLife #Coding #Debugging #TechHumor #ProblemSolving #WebDevelopment #Python #JavaScript #TechCommunity #ProgrammerLife #CodeNewbie #ReactJS #NodeJS
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Stop fearing math in JavaScript. The Math Object is your friend. Whether you are calculating prices, generating random IDs, or building game logic, the built-in Math object is essential. You don't need to import anything—it's ready to use. random(): Generate random numbers for logic or UI. round(x): The standard way to round to the nearest integer. ceil(x): Always rounds up (perfect for pricing pages). floor(x): Always rounds down (great for truncating values). pow(x, y): Easily calculate powers without loop complexities. sqrt(x): Find square roots instantly. min(...): Find the lowest number in a set or array. max(...): Find the highest number in a set or array. Swipe left to see code examples for each! To learn more, follow JavaScript Mastery Found this helpful? Repost to help your network stay updated. Comment on which method you use the most! #programming #javascript #math #coding #fullstack
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📌 JavaScript Array Methods – From Basics to Advanced Arrays are not just for storing data; they are powerful tools for performing complex operations. Methods like map(), filter(), reduce(), splice(), and slice() help write clean, readable, and efficient JavaScript code. Consistent learning and regular practice lead to better problem-solving skills and better code 🚀 #JavaScript #ArrayMethods #WebDevelopment #FrontendDevelopment #Programming #Coding #LearnJavaScript #DeveloperJourney #TechSkills #ComputerScience #CodeLife
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Have you ever questioned the difference between a library , framework , and platform. A library is collection of pre-written code that designed to help developers add specific functionality to their application. Examples: Math libraries Date/time libraries File-handling libraries A framework defines a set of rules, protocols, and conventions that developers must follow when writing their code. This helps ensure that all parts of an application work well together and follow a consistent design pattern. Exapmles: Next.js Vue.js Django A platform refers to the hardware or software enviroment in which a piece of software runs. Platform = Programming Language + Libraries
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I remember spending hours untangling JavaScript dependencies, just for a simple interactive feature. The heavy setup often overshadowed the joy of building. It felt like a constant battle against framework complexity. Sometimes, the simplest path delivers the most power. We've been conditioned to think 'more code' equals 'more robust.' But often, 'less code' means faster development and better performance. Consider a different approach: - Explore HTMX for projects needing interactive sprinkles on server-rendered pages. - Question if a full SPA framework is truly necessary for every feature. - Prioritize developer productivity over chasing the most complex trend. - Focus on delivering a fast, efficient user experience with minimal overhead. Keep building impactful things with less hassle. #HTMX #Python #WebDevelopment #ChatbotDevelopment #AIDevelopment #FrontendDevelopment #BackendDevelopment #FastAPI #JavaScriptFatigue #NoJS #DataScience
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JavaScript Destructuring: The Art of Unpacking Smarter! "Destructuring is a powerful JavaScript expression that lets you extract data from arrays or objects and assign them to distinct variables in a single, clean line". 1. Array Destructuring:Instead of accessing indices one by one, we "unpack" the entire array at once. const programmingLangs = ["C programming", "C++", "Java", "Python", "Js", "R"]; This is old method const a = programmingLangs[0]; const b = programmingLangs[1]; This is modern method const [first, second, third, ...others] = programmingLangs; console.log(first); console.log(second); console.log(others); 2. Object destructuring: const student={name: "vaseem", marks: 33, division:"3rd"}; const {name, marks}=student; console.log(name, marks); #JavaScript #WebDevelopment #CodingTips #ES6 #CleanCode #Programming #ReactJS
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Iterative Postorder Traversal of a Binary Tree in TypeScript using one stack 👉 Day 70 / Day 93 👈 19 🔥 This function performs a postorder traversal (Left → Right → Root) of a binary tree using an iterative approach with a stack. #TypeScript #JavaScript #Coding #Programming #DataStructures #Algorithms #BinaryTree #TreeTraversal #PostorderTraversal #TechCommunity #CodeNewbie #SoftwareEngineering #Developer
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