How to find a single element in a sorted array using binary search.

🚀 Day 3 of Educative’s 30-Day Coding Challenge 🧩 Question: Number of Steps to Reduce a Binary Number to One 💡 Approach: Iterate through the binary string from right to left (excluding the first bit). Track a carry to handle cases where adding 1 affects the next bit. If the bit (plus carry) is even → increment steps by 1. If odd → increment steps by 2 and set carry to 1. Finally, add carry to the total steps. 🎯 Takeaway: Thinking in terms of bits and carry simplifies the problem without converting the binary string to an integer. #30DaysofCode #Educative Educative #CodingChallenge #Consistency

𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗹𝗼𝗴𝗶𝗰 𝗮𝗳𝘁𝗲𝗿 𝗺𝗼𝗻𝘁𝗵𝘀 𝗼𝗳 𝗰𝗼𝗱𝗶𝗻𝗴 you need to watch this one video. 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗖𝗦𝟱𝟬 𝗙𝘂𝗹𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗖𝗼𝘂𝗿𝘀𝗲 This lecture is truly special it’s not about teaching you a specific programming language, but about teaching you how to think like a programmer. You’ll understand the 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗹𝗼𝗴𝗶𝗰, 𝗽𝗿𝗼𝗯𝗹𝗲𝗺-𝘀𝗼𝗹𝘃𝗶𝗻𝗴, and 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘀𝗸𝗶𝗹𝗹𝘀 that every great developer builds upon. It changes the way you approach problems and makes you realize that coding isn’t just about syntax, it’s about logic, structure, and creativity. Every computer science student and honestly, every 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 should watch this. An amazing lecture that can reshape how you understand programming! #CS50 #ComputerScience #ProgrammingLogic #Learning #CodingJourney

Ready to master the fundamentals of coding? 💡 I've just launched Episode 1 of my new series, "Fundamentals Of Coding," where we break down the core concept behind virtually every program in existence: the Input, Process, Output (IOP) Cycle! My mission is to help people starting their coding journey from scratch and build them the solid foundations they need to succeed. In this foundational episode, you will learn: 👉 How the simple IOP framework powers everything from basic tools to complex AI systems, explained using a clear, real-world analogy. ✅ Why Python is the ideal choice for new developers, opening doors to high-demand careers in Machine Learning, AI, and Data Science. 💻 A practical, step-by-step guide to writing your very first Python program, demonstrating how to handle user input, process data, and display the final result. Understanding the IOP model is your essential first step into the world of software development. Start building your knowledge today! Watch the full video here: https://lnkd.in/eksu7FSt If you're starting your coding journey, drop a comment below and let me know what you're most excited to learn! 👇 #CodingFundamentals #Python #Programming #TechSkills #IOP #SoftwareDevelopment #LearnToCode #BeginnerCoding

As part of my #100DaysOfCode journey, I worked on the Two Sum problem from LeetCode. This problem focuses on identifying two numbers in an array that sum up to a given target value, emphasising both logical reasoning and efficient implementation. The main objective of today’s task was to strengthen my practical understanding of problem-solving in DSA — particularly, how to translate conceptual logic into executable code. Through this exercise, I aimed to reinforce the fundamentals of function definitions, parameter handling, and structured implementation. 📽️ I’ve attached a short video demonstrating my approach and solution process. #100DaysOfCode #LeetCode #DSA #ProblemSolving #CodingPractice #LearningByDoing #Programming #SoftwareDevelopment https://lnkd.in/gDXnZCu8

🚀 #Day2 of My #30DaysDSAChallenge 💻✨ Today’s coding session was all about getting my hands dirty with some fundamental array operations — the real backbone of DSA! ⚙️ 💡 Topics I tackled today: 🔹 Linear Search 🔍 🔹 Binary Search ⚡ 🔹 Insertion in Array ➕ 🔹 Deletion in Array ➖ 🔥 What I learned: Linear Search builds logic and patience — step by step 👣 code link 🖇️ : https://lnkd.in/g7UMi2bX Binary Search reminded me that efficiency is everything ⏱️ Insertion & Deletion taught me how arrays manage shifting data behind the scenes 💾 Each day, I’m not just writing code — I’m building consistency, logic, and confidence! 💪 Excited for what’s coming next! 🚀 #DSA #CodingJourney #LearnToCode #ProgrammerLife #100DaysOfCode #30DaysChallenge #CodeEveryday #DataStructuresAndAlgorithms #CodingCommunity #TechLearner #CodeNewbie #ProblemSolving #CodingMotivation #SoftwareEngineering #LearningNeverStops #DeveloperDiaries #CSEStudent #CodeWithMe #BuildInPublic #GeekModeOn

Understanding Data Grids – Day 16 of DSA Today, I focused on multi-dimensional arrays, a key concept for representing structured data like matrices, grids, and tables. Worked on: 🔹 Indexing across rows and columns 🔹 Traversing 2D arrays efficiently 🔹 Understanding how data is stored and accessed internally 🔹 Practicing common operations like summing rows/columns & searching within grids Strengthening these fundamentals is essential before moving toward matrix algorithms and dynamic programming. Step by step, building a stronger base 💪 #DayOfDSA #100DaysOfCode #DSA #ProblemSolving #Programming #CodingJourney #Learning Sheryians Coding School Community Sheryians Coding School

This. The question my team has been poking at for the last six months. What does a vibecoding tiger team look like? What problems are solvable with a mix of AI coding assistance that weren't solvable with the same set of skills without AI? My take is that there are two major skill sets for data and software teams of the future. A) Problem diagnosis/product scoping and B) git/source control. Without A you'll be down an endless set of rabbit holes and solving problems that don't exist. And without B, you'll be unable to coordinate amongst a team or hand off a product to anyone other than its original author. Honorable mention: testing/QA/debugging. Even with A and B, if you aren't any good at ensuring your code is doing what you hope its doing, you'll be building houses of cards with brittle foundations. #AICoding #GenerativeAI #AIinTech #Programming #Coding #DeveloperTools #GitHubCopilot #AIassistant #Productivity #VersionControl #Git #SoftwareEngineering #DevOps #CICD #SoftwareTesting #QualityAssurance #Automation #UnitTest #CodeQuality #TechTrends #DigitalTransformation #LLMs

Extremely relevant conversation - another post right on the dot by Ethan Mollick I have been thinking about this since Jensen Huang stated that the goal was getting machines so good at speaking our language, that we wouldn’t have to learn how to code I firmly believe that although things like syntax of a programming language, specific functions, or even libraries as a whole, will become less and less important in the hierarchy of knowledge, thinking somewhat like a programmer remains crucial to avoid being blindly led by the AI. What do I mean by that?: - Understanding databases and querying - Understanding function calls and API calls - Understanding the basics of ML - Understading prompting and what goes behind it (how the LLM manipulates that information) This is just what comes top of mind. What’s clear to me is we need a paradigm shift in academics to enable non-technical users to lead AI on the application/adoption side; instead of being led by it

As the COO of www.jaiinfoway.com I believe Ethan Mollick raises a critical point about preparing the next generation for AI-driven “vibe coding.” As AI lowers barriers to software creation education must evolve to blend technical literacy with problem-solving skills. At www.jaiinfoway.com we advocate teaching students not just how code works but how to think computationally and use AI tools effectively. Empowering non-coders to build functional solutions will redefine innovation across industries. #Jaiinfoway #AIEducation #AIcoding #FutureofWork #DigitalTransformation #ArtificialIntelligence #Innovation #AgenticAI

The assumption that vibe coding platforms will get good enough to create fully functioning software is correct. Knowing that, what skills do you need to be a creator? My quick thoughts: 1. Have as much technical knowledge as possible, specifically around architecture - the more you understand how a software program works under the hood, the better you can instruct the building platform 2. Know the problem. Build stuff you would use. The more you understand the problem, the better you can build an amazing product because you can test it yourself 3. Don’t aim for perfection. Make an app that works well enough to solve the problem, then move on. Your skill should be 0-1 (creating something that works) not something that is production ready This is a massive opportunity. If you’re interested in this area comment below or DM me. Happy to help. mc