Solved LeetCode 2536: Increment Submatrices by One with Python

🗓 Day 7 / 100 – #100DaysOfLeetCode 📌 Problem 3542: Minimum Operations to Make Array Non-Decreasing The task was to find the minimum number of operations required to make the array non-decreasing by applying specific transformations. 🧠 My Approach: Used a monotonic stack to track the increasing order of elements. For each number, popped elements from the stack that were larger (to maintain order). Counted how many distinct “increase” operations were needed to make the sequence non-decreasing. Skipped zero values since they don’t contribute to operations. ⏱ Time Complexity: O(n) 💾 Space Complexity: O(n) 💡 Key Learning: This problem deepened my understanding of monotonic stack techniques, which are crucial for problems involving order maintenance, array flattening, and range-based conditions. The ability to manage sequences efficiently using stacks is one of the most powerful DSA skills — both for interview prep and real-world coding. #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #MonotonicStack #DataStructures #Algorithms #DSA #CodingJourney #CompetitiveProgramming #SoftwareEngineering #CodeEveryday #LearningInPublic #DeveloperJourney #TechStudent #CodingCommunity #CareerGrowth #KeepLearning #LogicBuilding #Programming #Optimization #TechCareer

🚀 Day 4 – LeetCode Problem Solving Journey 💻 Today’s challenge was “Merge Sorted Array” (LeetCode #88) — a classic array manipulation problem that helps improve understanding of two-pointer techniques and in-place merging. Problem: You are given two sorted arrays, nums1 and nums2, and the task is to merge them into a single sorted array, stored inside nums1. Example: Input: nums1 = [1,2,3,0,0,0], m = 3 nums2 = [2,5,6], n = 3 Output: [1,2,2,3,5,6] 🧠 Concept Used: Two-pointer approach starting from the end Comparison and in-place insertion Time Complexity: O(m + n) Space Complexity: O(1) Learning how to handle in-place data modification efficiently is a key step in mastering DSA! #LeetCode #Day4 #ProblemSolving #DSA #CodingJourney #100DaysOfCode #Python #Programming #DevelopersCommunity #SoftwareEngineering #LearningInPublic #CareerGrowth

💻 Problem Solving session – Day 2 Another productive session focused on strengthening problem-solving and logical thinking through Python at 10000 Coders under Battula Venkata Narayana sir. Today’s topics and exercises included: 🔹 Checking if a number is Perfect or not 🔹 Implementing Factorial and Fibonacci using Recursion 🔹 Generating a List of Palindromes 🔹 Checking for a Neon Number 🔹 Printing a List of Neon Numbers within a range Loving how each session builds stronger problem-solving skills step by step! 🚀 #10KCoders #Python #ProblemSolving #Recursion #CodingJourney #LearningByDoing #LogicBuilding #hiring

🗓 Day 14 / 100 – #100DaysOfLeetCode 📌 Problem 1437: Check If All 1’s Are at Least K Places Away The goal was to determine whether every pair of consecutive 1s in the array is separated by at least k zeros. 🧠 My Approach: Traversed the array while tracking the index of the previous 1. On encountering a new 1, checked the distance from the last one. If the gap was smaller than k, the condition failed instantly. This single-pass logic keeps the solution efficient and clean. 💡 Key Learning: This problem reinforced the importance of index tracking and using simple arithmetic comparisons to validate structural constraints. It’s a great reminder that not all problems require heavy algorithms — sometimes, clarity and careful traversal are enough for an optimal solution. Small steps forward build strong reasoning over time 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #LogicBuilding #Arrays #Algorithms #DataStructures #DSA #CompetitiveProgramming #CodingJourney #SoftwareEngineering #LearningInPublic #DeveloperJourney #TechStudent #CareerGrowth #CodeEveryday #CodingCommunity #KeepLearning #Programming #TechCareer

Every programmer can make something work. But only a great programmer writes code that lasts. Good code gets the job done for today; it runs, it delivers, it solves the task at hand. Great code, however, is designed, it anticipates future changes, handles edge cases, and scales as projects grow. That’s the difference between writing scripts and building systems. It’s also the mindset we teach in Python Data Structures and Algorithms: Complete Guide, how to write clean, efficient, and future-ready code through better structure and algorithmic thinking. 💡 Because mastering programming isn’t about just knowing syntax. It’s about thinking like a problem-solver. #LearnProgrammingAcademy #timbuchalka #pythoncourse #CleanCode #softwareengineering #Programming #coding #pythondevelopers #CodingMindset

🗓 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 87/100 of the #100DaysOfCode Challenge! #Day87 of #100Dayscodingchallenge:Today's focus was on mastering control flow and precision with nested loops in Python. I tackled a series of classic pattern problems that are fantastic for understanding logical structuring and boundary conditions. The Challenge: Build hollow geometric patterns using only for loops and conditional statements. Patterns Solved: ✅ Hollow Pyramid: A test of symmetry and managing increasing spaces. ✅ Hollow Right-Angled Triangle: Focusing on the first and last elements of each row. ✅ Inverted Hollow Pyramid: The reverse logic of its upright counterpart. ✅ Hollow Diamond: Combining the logic of both the standard and inverted pyramids for a complex, symmetrical shape. These exercises are more than just printing stars; they're about sharpening problem-solving skills, breaking down complex problems into manageable steps, and writing efficient, clean code. It's a powerful reminder that solid fundamentals in loops and conditionals are the building blocks for more advanced algorithms. Check out the code snippet in the comments! 👇 #Nxtwave #ccbp #intensive #Python #Programming #CodingChallenge #Algorithms #ProblemSolving #SoftwareDevelopment #LearnToCode #CodeNewbie #Developer #ProgrammingPatterns

🗓 Day 4 / 100 – #100DaysOfLeetCode 📌 Problem 728: Self Dividing Numbers The task was to find all numbers in a given range that are self-dividing — i.e., numbers that are divisible by each of their digits and contain no zero. 🧠 My Approach: Iterated through the range of numbers. Checked each digit of a number to ensure: It’s non-zero. The original number is divisible by that digit. Collected all numbers that satisfied both conditions. ⏱ Time Complexity: O(n × d) — where d is the number of digits in each number. 💾 Space Complexity: O(1) 💡 Key Learning: This problem strengthened my understanding of digit-wise iteration and conditional logic — simple concepts that are essential for handling number-based and math-intensive problems efficiently. Small problems like these build the habit of writing clean, readable, and logical code — one step closer each day 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #LogicBuilding #Programming #DataStructures #Algorithms #DSA #CodingJourney #CodingChallenge #CodeEveryday #LearningInPublic #CompetitiveProgramming #DeveloperJourney #TechStudent #CareerGrowth #CodingCommunity #KeepLearning

Hello Everyone! This is Day5 of my #30dayspythonproject. Today’s learning was all about one of the most important concepts in programming — Loops. Loops help us reduce repetitive work and make our code efficient, clean, and dynamic. I explored: 🔹 for Loop – best for iterating over sequences 🔹 while Loop – runs until a condition becomes false 🔹 Nested Loops – loops inside loops 🔹 Loop Control Statements break → stop the loop continue → skip the current iteration pass → placeholder 🔹 else with Loops – executes when loop finishes normally To practice these concepts, I built a small mini-project: ⭐ Password Strength Checker A simple program that uses loops + conditions to check if a password is Weak, Medium, or Strong. This helped me understand: How loops work internally How to combine loops with logic How to apply loops in real-world scenarios Excited to continue this journey and share more mini-projects in the coming days! 🚀💡 #LogicWhile #Python #CodingJourney #PythonDeveloper #30DaysOfCode #Learning #LoopsInPython #ProgrammingBasics #TechLearner #Day5 #MiniProjects #PythonLearning

LeetCode #50 - Pow(x,n) Binary Exponentiation | Time Complexity: O(log n) Binary exponentiation is a fundamental optimization technique that often appears in problems involving large powers or modular arithemetic. It's clean, fast, and an important concept for competitive programming and algorithmic interviews. #LeetCode #ProblemSolving #C++ #BinaryExponentiation #DSA #Coding #Algorithm #Programming