Simple problem, but the logic needs to be precise 🌱 Let’s talk greedy thinking. Hey everyone! Day 361 of my 365-day coding journey, and today’s problem was LeetCode 605: Can Place Flowers. This question looks easy at first glance, but it’s a great example of how edge cases and clean logic matter in real problem-solving. Let’s break it down. ⚡ 🛠️ The Problem You’re given a flowerbed represented as an array of 0s and 1s, where: 0 means empty 1 means already planted The rule is simple: no two flowers can be planted in adjacent plots. Given an integer n, the task is to check whether it’s possible to plant n new flowers without violating the rule. Example: flowerbed = [1,0,0,0,1], n = 1 → true 🎯 The Approach I solved this problem using two approaches: Solution 1: Brute Force I checked every position in the flowerbed and verified whether the current plot and its adjacent plots were empty. If planting was possible, I placed a flower and continued. This approach works but requires careful boundary checks. Solution 2: Greedy One Pass This is the optimal solution. I traversed the flowerbed once and greedily planted a flower whenever the current plot and its neighbors allowed it. Each valid placement immediately reduces n, making the solution efficient and clean. 🧠 Key Takeaways 🌿 Greedy strategies shine when local optimal choices lead to a global solution. 🔍 Edge cases at the start and end of the array are critical in array problems. ⚡ A one-pass solution is often both simpler and more efficient than it looks. 💡 Challenge for You! When you see array problems like this, do you first think brute force or jump straight to greedy optimization? Share your approach below! 💬 📺 Watch My Full Walkthrough I explain both solutions step-by-step in my latest video: https://lnkd.in/g_RtRKMY 🔥 Join the Conversation If you’re pushing through DSA daily or close to finishing your own coding challenge, let’s connect and grow together. Consistency really pays off. 🚀 #CodingJourney #DSA #LeetCode #Arrays #GreedyAlgorithm #ProblemSolving #Python #Algorithms #DataStructures #Programming #DeveloperLife #365DaysOfCode #LearningEveryDay
Subbareddy karri’s Post
More Relevant Posts
-
The “to-do” steps in Angela Yu’s course are basically a mini flowchart. Once you understand what the program is supposed to do and in what order, the coding part becomes much easier. The flow of logic comes first, then the syntax follows. What I’ve learned is this: You can jump straight into writing code and figure things out along the way — but that usually takes more time. Someone who first thinks in terms of a flowchart or clear steps already understands the concept, so when they start coding, they’re just choosing the right tools (syntax, functions, definitions) to implement what they already know. For me, this changed how I approach problems: Understand the logic Visualize the flow Then write the code The “to-do” list tells you what to do. Coding is deciding how to do it. This mindset alone makes learning programming feel faster, clearer, and far less frustrating. #LearningToCode #Python #ProgrammingBasics #ProblemSolving #Flowcharts #StudentLife
To view or add a comment, sign in
-
-
A year ago, I thought LeetCode was about solving problems fast. Turns out, it was teaching me how to think. I started solving problems on LeetCode to improve my problem-solving speed and to get comfortable with Python. Back then, the goal was simple: write correct code, faster. But when I look back now, I understand it was never really about speed or just writing code — it was about how the process slowly reshaped the way I think and approach problems, both in code and beyond it. Along the way, this journey quietly taught me a few lessons: • Quality matters more than quantity • Understanding the problem comes before writing code • Big problems become manageable when broken into smaller parts • Some problems look complex but have simple solutions • Some simple-looking problems demand the most effort • There’s no “I don’t know” — only “I don’t know the approach yet” • Comfort slows growth; struggle accelerates it • Getting stuck is part of the process, not a failure • Challenges teach more than easy wins • Ignoring small details often creates bigger problems later • To fix what’s broken, sometimes you must break what’s working • Not everything needs to be solved at once — prioritize what matters • And sometimes… do nothing — just eat a Five Star 🍫 😄 This journey wasn’t only about solving LeetCode problems. It was about learning how to think clearly, adapt patiently, and stay consistent whether in code or in life. Check out my LeetCode profile: https://lnkd.in/gfzGgUdk #LeetCode #ProblemSolving #Python #DSA #CodingJourney #GrowthMindset #Consistency
To view or add a comment, sign in
-
-
I built a basic calculator using SpecKit Plus + Claude Code, and it feels fundamentally different from vibe coding. SpecKit Plus is a spec-driven development toolkit that puts a clear specification at the center of the workflow, guiding how AI agents plan, structure, and implement code rather than guessing based on loose prompts. It gives you templates and patterns so you can define what you want the system to do before code is generated. Here is how this approach helps: You start with a precise spec of behavior and requirements instead of ad-hoc prompts. The process produces predictable and consistent outcomes rather than relying on iterative prompting. It makes debugging and extending the code easier because the intent is documented up front. This is not vibe coding, where you keep asking for code until it works. This is spec-driven, structured, and repeatable. Below is a short demo of the calculator UI in action. Special thanks to Panaversity | Muhammad Junaid Shaukat | Wania Kazmi for the fascinating classes on #AgenticAI, #ClaudeCode, and #AINativeDevelopment. My GitHub Repo: https://lnkd.in/dVPVTs-4 #SpecDrivenDevelopment #AIcoding #Python #SpecKitPlus #SoftwareEngineering #Panaversity
To view or add a comment, sign in
-
🚀 Code analysis is now live on Codex Playground Codex Playground continues to evolve with one clear goal: make coding feel fast, focused, and frictionless. With this update, code analysis is now live, giving developers immediate insight while staying out of the way of the actual coding experience. No clutter, no distractions — just helpful signals that support how you already think and write code. The playground is designed for: Developers who want a clean, minimal editor Learners experimenting with logic and algorithms Competitive programmers testing ideas quickly Anyone who values focus over feature overload This release is part of an ongoing build-in-public process. The foundation is in place, and improvements will continue to roll out based on real usage and feedback. Try it out here 👇 https://lnkd.in/gXbJctFN More updates coming soon. #coding #programming #developers #codeanalysis #devtools #codeeditor #softwareengineering #buildinpublic #python #competitiveprogramming Anupam Mittal
To view or add a comment, sign in
-
-
I recently watched my colleague dive into a new Python project using GitHub Copilot - not just for quick code snippets, but as an active coding partner. What surprised me was how Copilot didn’t just offer boilerplate; it actually generated async functions with docstrings and thoughtful error handling. Sure, she still had to review and refine those suggestions (AI isn’t magic, after all), but more often than not, Copilot sped up the process - especially during those “blank editor” moments. 🚀 What stood out most: Copilot’s nudges towards better patterns, like security checks and best-practice usage of APIs, popping up right in the editor when she needed them. If you’ve seen GitHub Copilot surprise you (or a colleague), how do you make sure those suggestions are reliable? Any favorite tricks for reviewing what Copilot writes? Let’s swap stories! https://msft.it/6049tNvXv #GitHubCopilot #AIPairProgramming #CodeQuality #Python #JavaScript
To view or add a comment, sign in
-
-
🔥 Day 2 of My LeetCode Coding Streak 📘 Problem #961: N-Repeated Element in Size 2N Array (Easy) Today’s problem was a great reminder that understanding the problem statement clearly can make the solution very simple. 🧠 Problem in Simple Words: You are given an array of size 2N There are N + 1 unique numbers Only one number repeats N times We need to find that repeating number 💡 How I Thought About the Solution: Instead of counting everything fully, I focused on this key point: 👉 Only one element is repeated many times. So my approach was: Go through the array one element at a time Keep track of numbers I have already seen using a dictionary The first number that appears again is the answer Because: There is only one repeated element As soon as we see it again, we can return it No need to check the full array ⏱ Complexity: Time: O(n) Space: O(n) This problem helped reinforce an important beginner lesson: ✨ Sometimes the best solution is the simplest one. 📌 Stay tuned for more daily coding streak updates and beginner-friendly DSA learnings! #Day2 #CodingStreak #LeetCode #Python #DSA #ProblemSolving #LearningInPublic #SoftwareEngineering #Consistency
To view or add a comment, sign in
-
-
Ever wished you could undo a coding mistake like Ctrl + Z for real life? 👀💻 Meet Git, the silent superhero behind every smart developer’s workflow. From tracking changes to fixing bugs without fear, Git turns mistakes into learning moments. This week’s #TechHackOfTheWeek is all about coding smarter, not safer. 🚀 Because in tech, it’s not about never breaking code, it’s about knowing how to fix it. #Technology #Python #HindustanCampus #ShardaGroup
To view or add a comment, sign in
-
-
Who said coding is boring? It’s fun too. 🎨 As someone who strongly believes in self-love and self-expression, I thought — why not create a heart using code? ❤️ That curiosity led me to explore Python Turtle, a beginner-friendly yet powerful visual programming and graphics tool that turns logic into art. What started as practice slowly became creativity in motion — where math, loops, and imagination came together. 🌸 Mini Project Spotlight: Heart Shape using Python Turtle In this mini project, I used mathematical equations and Turtle graphics to draw a heart programmatically. Every curve, line, and flow is generated purely through logic — no design tools, just code. ✨ What went into this: 🧮 Mathematical functions shaping the curves 🐢 Python Turtle for visual drawing 💡 Logic blended with creativity Projects like these remind me that coding isn’t only about debugging or algorithms— it’s also a medium for creativity, expression, and even emotions. When code meets imagination, beautiful things happen. 💫 Still learning, still experimenting — and loving the journey one mini project at a time. #Python #PythonTurtle #CreativeCoding #CodeMeetsCreativity #LearningByDoing #MiniProjects
To view or add a comment, sign in
-
🚀 Daily Coding Challenge - Day 1 | Python Edition Starting a daily coding challenge series! Here are today's 3 problems: 🟢 Easy: Palindrome Checker Write a function to check if a string is a palindrome (ignoring spaces, punctuation, and case). Example: "A man a plan a canal Panama" → True 🟡 Medium: Find Missing Number Given an array with n distinct numbers from 0 to n, find the missing number. Example: [3, 0, 1] → 2 Bonus: Solve in O(n) time, O(1) space! 🔴 Hard: Trapping Rain Water Calculate how much water can be trapped between elevation bars after it rains. Example: [0,1,0,2,1,0,1,3,2,1,2,1] → 6 units 💡 Why Daily Challenges? Sharpen problem-solving skills Practice algorithmic thinking Build consistency in coding Drop a 💻 if you're attempting these today! Comment your approach or time complexity below 👇 #Python #CodingChallenge #100DaysOfCode #Programming #SoftwareEngineering #TechCommunity #DataStructures #Algorithms #DeveloperLife for more Python related posts connect with Apeksha H P 👍
To view or add a comment, sign in
-
Coding tutorials never teach you the most confusing part. They teach you how to write loops and functions. But they never tell you: "Where do I actually put all these files?" That is why so many beginners just dump everything into one messy folder. It works for small tasks, but it breaks when you try to build something real. 📉 I wanted to fix that confusion. So, I built the AI Project Architect. 🏗️ It’s like a smart assistant for your files: 🔹 I tell it what I want to build (e.g., "A Student Management System"). 🔹 It instantly creates all the correct folders and files for me. 🔹 It organizes your project the "professional way" automatically. Why use it? ✅ If you are a beginner: It teaches you how to be organized. ✅ If you are a pro: It saves you from doing the boring work. v5.2 is live. Don't let a messy folder stop you from coding. 🚀 #StudentLife #Coding #Python #BeginnerToPro #Engineering
To view or add a comment, sign in
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development