Python Daily Coding Challenge: Palindrome Checker, Missing Number, Trapping Rain Water

Learning Data Science | Day 4 🎯 Today’s mini-project: Interactive Number Guessing Game with Streamlit 🖥️ 💡 What I built: A game where the computer picks a secret number between 1–10 You guess the number and get instant feedback: too high, too low, or correct Tracks your attempts and allows you to restart anytime 🧠 Skills practiced: Python basics: loops, conditions, variables Streamlit for interactive UI State management with st.session_state Simple, fun, and a great way to make coding interactive while strengthening Python fundamentals! #Python #Streamlit #MiniProject #100DaysOfCode #LearningDataScience #Programming #Day4 #PortfolioProject

🎯 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧: 𝐍𝐮𝐦𝐛𝐞𝐫 𝐆𝐮𝐞𝐬𝐬𝐢𝐧𝐠 𝐆𝐚𝐦𝐞 As part of my Python practice, I built a Number Guessing Game using a procedural approach — handling game flow, difficulty levels, and attempt tracking step by step. After completing my version, I reviewed a cleaner, more modular reference solution for the same problem and compared both implementations. That comparison helped me understand how structure impacts clarity more than I initially realized. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗲𝘅𝗲𝗿𝗰𝗶𝘀𝗲: • Breaking logic into functions improves readability and reuse • Clear separation of responsibilities simplifies debugging • Managing state (attempts, difficulty, game flow) becomes easier with better design • Writing working code is only the starting point — refining it is where learning deepens This project reinforced an important mindset for me: 𝕭𝖚𝖎𝖑𝖉𝖎𝖓𝖌 𝖆 𝖘𝖔𝖑𝖚𝖙𝖎𝖔𝖓 𝖒𝖆𝖙𝖙𝖊𝖗𝖘. 𝖀𝖓𝖉𝖊𝖗𝖘𝖙𝖆𝖓𝖉𝖎𝖓𝖌 𝖍𝖔𝖜 𝖙𝖔 𝖇𝖚𝖎𝖑𝖉 𝖎𝖙 𝖇𝖊𝖙𝖙𝖊𝖗 𝖒𝖆𝖙𝖙𝖊𝖗𝖘 𝖒𝖔𝖗𝖊. Sharing this as another step in my Python learning journey 🚀 #Python #LearningByDoing #ProblemSolving #CleanCode #ComputerScience #CSE #Programming

💡 LeetCode Learning Journey: Contains Duplicate Problem Recently, I worked on the “Contains Duplicate” problem on LeetCode. Initially, I approached it with the classic nested loop method, which checks every element against all others. While this solution works logically, I realized it fails to pass large test cases due to O(n²) time complexity. After researching, I discovered a much cleaner and highly optimized solution using Python’s set(), which ensures O(n) time complexity by storing already seen elements and checking for duplicates instantly: return len(nums) != len(set(nums)) I was truly impressed by the simplicity and efficiency of this approach! 🚀 ✅ Key Learning Points: Using set in Python for uniqueness and fast membership checks How time complexity impacts large inputs in competitive programming Importance of optimizing code beyond just correctness I’ve included a screenshot of my longer initial solution as well as the optimized one-line solution for comparison. It’s amazing how a single line can outperform nested loops for large datasets! #Python #LeetCode #ProblemSolving #DataStructures #CodingJourney #OOP #Set #Programming #Optimization

🚀 𝗪𝗲 𝗮𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗧𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸! A 7 day build in public sprint designed to turn Python learners into real builders 💻 Most learners struggle to solve even one problem ❌ The problem is simple: 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗮𝗰𝘁𝘂𝗮𝗹 𝗰𝗼𝗱𝗶𝗻𝗴 = 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗸𝗶𝗹𝗹 ⚠️ The Python Playbook fixes that 🔧 Here’s what you’ll do inside this sprint 👇 • Solve Python problem each day 📘 • Get hands on solutions to check your work 🛠️ • Share daily submissions on GitHub 🌍 • Earn visibility, rankings & features from Campus Charge ⭐ This isn’t a course. There are no videos, no lectures, no theory. It’s a system that forces execution 🎯 If you’re ready to go from attempting to actually building, 𝗗𝗿𝗼𝗽 🔥 or 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 𝗜𝗡 below. 𝗝𝗼𝗶𝗻 𝘂𝘀 👉 https://lnkd.in/gR3QRQYU 7 days. 7 chances to level up your coding. 𝗠𝗮𝗸𝗲 𝗲𝗮𝗰𝗵 𝗹𝗶𝗻𝗲 𝗼𝗳 𝗰𝗼𝗱𝗲 𝗰𝗼𝘂𝗻𝘁. #Python #PythonLearning #BuildInPublic #CodingChallenge #GitHub

🚀 Exploring Pattern Programming and Logical Thinking in Python Today, I worked on designing alphabet patterns using Python by combining nested loops and conditional logic. This practice helped me strengthen my core programming skills and improve code structure and readability. 🔍 Key Concepts I Focused On: 1️⃣ Nested Loops Used multiple loops to manage rows and columns efficiently. 2️⃣ Conditional Logic Applied if-else statements to control pattern formation accurately. 3️⃣ Custom Pattern Design Created structured alphabet outputs through logical conditions. 4️⃣ Code Optimization Reduced redundancy and improved execution flow. 5️⃣ Output Formatting Maintained proper alignment using spacing and end parameters. 6️⃣ Problem-Solving Approach Converted abstract ideas into working code through systematic thinking. 7️⃣ Execution Analysis Understood how loops and conditions behave during runtime. Focused on continuous improvement and long-term growth in software development. 💻✨ Special thanks to Vinay Sharma and for his valuable guidance and continuous support, which helped me understand concepts more clearly and stay motivated throughout this learning journey. #Python #CodingSkills #LogicBuilding #PatternProgramming #LearningInPublic #StudentDeveloper #TechJourney #CleanCode

🚀 Python Level 1 is DONE. Here’s the playlist that builds real logic (not just “syntax”). I just wrapped Level 1 of my Python Programming Bootcamp, and this playlist is designed with a simple goal: ✅ Make you comfortable with Python + make you think like a programmer. Most courses either go too theoretical… or jump into random topics. This one is a no-nonsense launchpad. What you’ll find inside (Level 1)- 1) Language Fundamentals print(), variables, input, typecasting functions (how to write reusable code) 2) Control Constructs if / elif / else loops (for, while) break / continue mindset 3) Logic Building (the real game) pattern programming (to build loop control + structure) number programs (reverse, palindrome, Armstrong, GCD/LCM, prime, etc.) This combo is the “must-know foundation” before you: 🎯 start competitive coding 🤖 move into AI/ML 🧩 crack coding rounds 🛠️ build projects confidently If you’re serious about Python, this is where you start. 📌 Python Bootcamp Playlist (Level 1): https://lnkd.in/gPny7Gkw Stay tuned, I’ll share the next roadmap (Level 2) that continues with DSA + real problem solving. #Python #Programming #LogicBuilding #Coding #InterviewPrep #CompetitiveProgramming #AI #Hosiyar

Started with a small project—but a deliberate one. Built a Self-Intro Script Generator in Python that collects user inputs (name, age, city, profession, hobby) and formats them into a clean, readable introduction. It also integrates the datetime module to log the current date and uses a decorative border for better output presentation. Simple in scope, but it reflects real-world patterns: user interaction, data formatting, and output clarity. 🧠🐍 Key point for me: projects don’t have to be complex to be meaningful. Solid fundamentals are what compound over time. Learning in public. One project at a time. • GitHub: https://lnkd.in/gmhBK9b4 #Python #Projects #ProgrammingFundamentals #Consistency #DeveloperJourney

🚀 Daily Coding Challenge - Day 2 | Python Edition Ready for today's challenges? Let's level up! 💪 🟢 Easy: Two Sum Given an array of integers and a target sum, return the indices of two numbers that add up to the target. Example: nums = [2, 7, 11, 15], target = 9 → [0, 1] (because nums[0] + nums[1] = 2 + 7 = 9) 🟡 Medium: Longest Substring Without Repeating Characters Find the length of the longest substring without repeating characters. Example: "abcabcbb" → 3 (substring "abc") Example: "bbbbb" → 1 (substring "b") Example: "pwwkew" → 3 (substring "wke") 🔴 Hard: Merge K Sorted Lists Merge k sorted linked lists into one sorted linked list. Example: Input: [[1,4,5], [1,3,4], [2,6]] Output: [1,1,2,3,4,4,5,6] Challenge: Can you achieve better than O(N) where N is total nodes? 💡 Pro Tip: For the medium problem, think about using a sliding window or hash map approach! Drop a 💻 if you're coding today! Share your approach or favorite data structure below 👇 #Python #CodingChallenge #Programming #SoftwareEngineering #TechCommunity #DataStructures #Algorithms #DeveloperLife #CodeDaily for more Python related posts content with Apeksha H P 👍

🧠 𝟯𝗿𝗱-𝗦𝘁𝗲𝗽 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝘀𝘁𝗲𝗿𝘆 𝗦𝗲𝗿𝗶𝗲𝘀: 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗙𝗹𝗼𝘄 𝗨𝗻𝗹𝗼𝗰𝗸𝗲𝗱! 𝗘𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝗵𝗼𝘄 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝘁𝗵𝗶𝗻𝗸 𝗮𝗻𝗱 𝗺𝗮𝗸𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀?That's the magic of Control Flow, and it's what separates basic scripts from truly dynamic and intelligent applications! In Part 3 of my 11-step Python Mastery Series, we're diving deep into the brain of your code. We’ll be unlocking the power to guide your program through different paths based on conditions. 𝗚𝗲𝘁 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿:- 🎯 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀 (𝗶𝗳, 𝗲𝗹𝗶𝗳, 𝗲𝗹𝘀𝗲)𝘀𝘁𝗲𝗿:: Teaching your code to react smartly to various scenarios. ⚖️ 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀 (𝗮𝗻𝗱, 𝗼𝗿, 𝗻𝗼𝘁): Combining conditions for complex decision-making. 🔄 𝗡𝗲𝘀𝘁𝗲𝗱 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗙𝗹𝗼𝘄: Building intricate logic structures for sophisticated applications. This isn't just about syntax; it's about fundamentally changing how you approach problem-solving with Python. Imagine your programs responding differently based on user input, data values, or even time of day! Why is Control Flow crucial? It's the engine that drives all complex applications, allowing them to adapt, respond, and perform tasks exactly when and how they should. Without it, your code is just a straight line. With it, you build pathways! Join me as we empower our Python programs to think, decide, and act. This is where your coding truly gets interesting! #Python #ControlFlow #ProgrammingLogic #PythonSeries #ConditionalStatements #CodingSkills #SoftwareDevelopment #LearnInPublic #TechEducation #MachineLearning #DataAnalysis #CodingJourney #SmartManufaturing #OperationAnalyst #IndustrialDataScientist