Solved LeetCode Problem 2011 with Python in 0 ms

🗓 Day 10 / 100 – #100DaysOfLeetCode 📌 Problem 3228: Maximum Number of Operations to Move Ones to the End The task was to determine the maximum number of operations needed to move all '1's in a binary string to the end, given specific operation rules. 🧠 My Approach: Traversed the string while keeping track of the total count of '1's seen so far. Whenever a '10' pattern appeared, added the current count of '1's to the total operations. This ensured that each move was counted optimally without unnecessary shifts or recomputation. ⏱ Time Complexity: O(n) 💾 Space Complexity: O(1) 💡 Key Learning: This problem reinforced the value of pattern-based logic and prefix counting — powerful techniques for problems involving strings or sequences. It also highlighted how thinking in terms of transitions (1→0) can simplify seemingly tricky problems. Ten days down, ninety to go 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #Strings #LogicBuilding #DataStructures #Algorithms #DSA #CodingJourney #CompetitiveProgramming #SoftwareEngineering #LearningInPublic #DeveloperJourney #TechStudent #CodingCommunity #CareerGrowth #CodeEveryday #Optimization #KeepLearning #Programming

Day 42 – Creating Your Own Python Module Modules = reusable power ⚡ Instead of rewriting code again and again, you can store it in a separate file and reuse it anytime! Step 1: Create a file greetings.py def say_hello(name): return f"Hello, {name}! Welcome back." Step 2: Use it in another file import greetings print(greetings.say_hello("Ayaan")) Output: Hello, Ayaan! Welcome back. This is how big apps are built — by splitting code into organized modules. 👉 Clean structure = scalable software. #Python #Programming #CodeOrganization #CleanCode

Writing code is not just about making it work. It’s about making it understandable, maintainable, and respectful to future readers. This commitment to clarity is why I've created my repository: Gang of Four (GoF) Design Patterns in Python. The repo explains, and provides 23 structured solutions, each paired with a real-world case study (e.g., using **Strategy** to eliminate massive if/elif blocks). This approach ensures solutions are recognizable and reusable. Design patterns are the blueprints that solidify architectural intent and uses. They are the ultimate commitment to the next developer. What recurring complexity in your codebase could be solved by applying a structural, behavioral, or creational pattern? #CleanCode #DesignPatterns #SoftwareArchitecture #Python #GoF

Day 24/100 ✅ Revisited the “Zigzag Conversion” problem today — a creative string manipulation challenge that tests how well you can visualize patterns and manage indices efficiently. 💡 Key takeaway: Problems like these show that programming isn’t just logic — it’s also pattern design. Understanding how to control direction and structure while maintaining order taught me how visualization can simplify even complex problems. Revisiting old problems with a fresh mind always brings new insights. 🚀 #Day24of100 #LeetCode #100DaysOfCode #ZigzagConversion #StringManipulation #ProblemSolving #Python #CodingJourney #LogicBuilding #PatternRecognition #Consistency

🚀Day 71 of #100DaysOfCode Today's challenge was LeetCode Problem #3228 - Maximum Number of Operations to Move Ones to the End. This problem focused on binary string manipulation and calculating the maximum possible operations under specific conditions. It tested the ability to analyze how '1's can be shifted past '0's efficiently while maintaining optimal time complexity. Key Learnings: Applied an efficient linear approach to avoid unnecessary simulations. Learned to track and update the count of '1's dynamically during iteration. Strengthened problem-solving strategies for string-based algorithmic questions. Language Used: Python Runtime: 55 ms (Beats 74.85%) Memory: 18.12 MB (Beats 54.49%) Day 70 represents continuous progress in improving logical reasoning and coding efficiency. Each solved problem builds a stronger foundation for advanced algorithmic thinking and real-world software development. #LeetCode #Python #ProblemSolving #CodingChallenge #100DaysOfCode #Algorithm #DataStructures #Mythyly

🚀 Day 4/100 — Cracked LeetCode 1611: Minimum One Bit Operations to Make Integers Zero 🔥 Today’s challenge was a deep dive into bit manipulation and recursion. LeetCode 1611 looked deceptively simple—but beneath the surface, it’s a clever twist on Gray code transformations. 🔍 Problem Summary Transform an integer n into 0 using two constrained bit-flipping operations. The trick? You can only flip the rightmost bit, or flip the i-th bit if the (i-1)th is 1 and all lower bits are 0. 🧠 Key Insight This problem maps beautifully to recursive Gray code logic. For any number n, we recursively reduce it by flipping the highest set bit and subtracting the operations needed for the remainder. 📈 What I Learned Bitwise recursion can be elegant and powerful. Understanding binary patterns unlocks optimization. Python’s bit_length() is a hidden gem for bit-level logic. 🔧 Next Steps I’ll be documenting more of these insights as part of my 100-day challenge. If you’re into algorithmic puzzles or want to collaborate on clean, modular solutions—let’s connect! #100DaysOfCode #LeetCode #Python #BitManipulation #GrayCode #CodingChallenge #TechJourney #ScarBuilds

✅Day 55 of #100DaysOfCode Solved LeetCode 3346 — Maximum Frequency of an Element After Performing Operations I (Accepted ✅ 635/635 cases) Thrilled to share I got an Accepted solution in Python — runtime: 289 ms (beats ~92%) and memory: 30 MB (beats ~95%) 🎉 What I did: • Sorted the array and used a sliding-window (two pointers) approach. • Kept a running sum of the window to compute how many operations are needed to make all elements equal to the current right-end value. • Grew the window while remaining within numOperations, otherwise moved the left pointer — the maximum window size is the answer. Why this works: sorting groups close values together, and the sliding window + prefix-sum-like maintenance lets us calculate required increments efficiently (O(n log n) for the sort, O(n) for the scan). Key takeaways: • Classic use of sort + two-pointer for "make equal with limited ops" problems. • Keep aggregate information (like sum) to avoid recomputing costs inside the window. • Small optimizations in Python (use integers, avoid heavy operations inside loops) help pass tight constraints. If you want, I can share the final Python snippet or a short walkthrough of the logic. Grateful for the practice — on to the next one! 🚀 #LeetCode #100DaysOfCode #Python #CompetitiveProgramming #ProblemSolving

🕒 Crafted a Real-Time Digital Clock Using Python 🐍 Exploring the creative side of Python with a small yet exciting project — A Digital Clock built using the tkinter library This project allowed me to dive deeper into:- 💡GUI development with tkinter ⚙️ Real-time updates using strftime() and after() 🎨 Designing a simple, colorful, and interactive interface It’s fascinating how a few lines of Python code can bring something dynamic to life — watching time tick every second through a program you built is truly satisfying. Always eager to learn, build, and keep improving every day Project Code (Git Hub): https://lnkd.in/diNS9vzB #Python #Coding #Tech #PythonProjects #Programming #tkinter #Innovation #Learning #DataScience #DataAnalytics

Day 54 of Python Problem Solving “Length of Last Word” #Challenge! Today's problem was all about handling strings smartly. The task: Given a string containing words and spaces, return the length of the last word — ignoring any trailing spaces! 🧠 What I Learned Today ✔ Understanding how to deal with extra spaces in strings ✔ A word is simply a sequence of non-space characters ✔ Smart usage of built-in operations can simplify the whole solution ✔ Sometimes the simplest approach is the most efficient approach 🚀 Key Takeaways ✅ String manipulation is a crucial skill in programming ✅ Clean logic leads to efficient and readable code ✅ Every small problem contributes to big learning 📍 GitHub Repository (All problem-solving files): 🔗 https://lnkd.in/g2HA9WKb #Day54 #Python #100DaysOfCode #ProblemSolving #LeetCode #StringManipulation #pythonproblemsolving #challenge #CodingJourney #KeepLearning #DeveloperLife #PythonProgramming

🔥 Day 24 String Patterns & Prefix Power 💪 Today’s DSA session was all about smart scanning and pattern precision decoding strings from both ends like a pro 🧠 🔹 LeetCode 1903 Largest Odd Number in a String We learned to scan from right to left to grab the largest possible odd substring mastering substring slicing and number logic in one go. A simple yet powerful trick in string + math hybrid problems ⚡ 🔹 LeetCode 14 Longest Common Prefix We revisited a classic finding the common thread across multiple strings! Perfect practice for pattern alignment and character-wise comparisons 🧩 💡 Strings may look simple but they hide some of the most elegant problem-solving patterns in all of coding. What’s your go-to trick when solving string questions slicing, pointers, or brute force? 👇 #Day24 #100DaysOfCode #LeetCode #StringProblems #CodingJourney #ProblemSolving #DSA #LearnToCode #TechCommunity #Python #Programming #CodingChallenge #DSA90WithSUUMIT #DSA90 #FullStack #Strings #DEV