✅ Day 47 of 100 Days LeetCode Challenge Problem: 🔹 #152 – Maximum Product Subarray 🔗 https://lnkd.in/gcKQWrHz Learning Journey: 🔹 Today’s problem focused on finding the maximum product of a contiguous subarray. 🔹 Unlike sum-based problems, negative numbers can flip the result, so I tracked both maximum and minimum products at each step. 🔹 Whenever a negative number appeared, I swapped the current max and min to maintain correctness. 🔹 This allowed me to dynamically update the best possible product while traversing the array once. Concepts Used: 🔹 Dynamic Programming 🔹 Kadane-like Optimization 🔹 Greedy State Tracking 🔹 Array Traversal Key Insight: 🔹 Keeping track of both maximum and minimum products is essential due to sign changes. 🔹 Negative numbers can turn the smallest product into the largest. 🔹 Maintaining rolling states leads to an efficient O(n) solution. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
Max Product Subarray LeetCode Challenge
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✅ Day 54 of 100 Days LeetCode Challenge Problem: 🔹 #728 – Self Dividing Numbers 🔗 https://lnkd.in/gxraQJ82 Learning Journey: 🔹 Today’s problem focused on identifying numbers that are divisible by each of their digits. 🔹 For every number in the given range, I extracted its digits and checked divisibility conditions. 🔹 Any number containing zero was immediately rejected since division by zero is invalid. 🔹 Valid numbers were collected into the final result list. Concepts Used: 🔹 Digit Extraction 🔹 Modulo Arithmetic 🔹 Iterative Checking 🔹 Conditional Filtering Key Insight: 🔹 Breaking numbers into digits simplifies many number-theory problems. 🔹 Early elimination (like handling zeros) improves efficiency. 🔹 Clear validation logic makes implementation straightforward and readable. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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✅ Day 55 of 100 Days LeetCode Challenge Problem: 🔹 #55 – Jump Game 🔗 https://lnkd.in/gnUUqSxm Learning Journey: 🔹 Today’s problem focused on determining whether we can reach the last index of an array given maximum jump lengths at each position. 🔹 I used a greedy approach, tracking the maximum reachable index while traversing the array. 🔹 If at any point the current index exceeds the maximum reachable position, it means the end cannot be reached. 🔹 Otherwise, I continuously update the furthest reachable index. Concepts Used: 🔹 Greedy Algorithm 🔹 Array Traversal 🔹 Reachability Tracking 🔹 Optimization Strategy Key Insight: 🔹 Instead of exploring all paths, tracking the furthest reachable index is sufficient. 🔹 Greedy decisions at each step can guarantee a global solution in certain problems. 🔹 Efficient state tracking reduces the need for dynamic programming. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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🚀 30 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 — 𝐃𝐚𝐲 #13 | 𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐍𝐞𝐬𝐭𝐞𝐝 𝐋𝐨𝐨𝐩𝐬 Day 13 was focused on learning intermediate and advanced concepts of nested loops. Today, I explored how loops can be placed inside other loops to create more structured and complex program flows. Understanding this concept helped me see how programs handle multi-level iterations. 📌 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐨𝐯𝐞𝐫𝐞𝐝: 🔹 Intermediate nested loop structures 🔹 Advanced nested loop logic 🔹 How loops interact with each other inside different levels 🔹 Using nested loops to generate different patterns 💡 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: - Nested loops are powerful when it comes to handling multi-level iteration and pattern-based logic. - Understanding how each loop controls rows and columns is key to mastering patterns. A 𝐡𝐮𝐠𝐞 𝐬𝐡𝐨𝐮𝐭𝐨𝐮𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 & 𝐃𝐞𝐛𝐮𝐠 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 for explaining these concepts so clearly and making even complex topics easy to understand. The structured explanations really make learning smoother. 𝐃𝐚𝐲 13 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 ✅ Each concept is helping me think more logically about programming. 💻✨ #Python #30DayChallenge #Day13 #NestedLoops #PatternProgramming #PythonLearning #CodingJourney #LearnToCode #Programming #TechGrowth
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LeetCode Win Today 🚀 Solved “Apply Operations to an Array” with a simple two-pass approach. ⚡ Runtime: 0 ms (Beats 100%) Approach: 🔹 Pass 1: Traverse the array If nums[j] == nums[j-1] → Double the left element → Set the right element to 0 🔹 Pass 2: Move all zeros to the end using a two-pointer technique. 💡 Key Insight: Instead of solving everything in one complex loop, split the problem into two clean steps. 📊 Complexity: • Time → O(n) • Space → O(1) (in-place) Consistent practice. Clear thinking. Better code every day. 🧠⚡ #leetcode #dsa #algorithms #datastructures #coding #programming #python #softwareengineering #computerscience #tech #codinglife #problem-solving #100daysofcode #developers #codingjourney #techcommunity 🚀
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They asked for the sum of 5 numbers. The loop ran forever. One line was missing: count += 1. Without incrementing the counter, the condition never became false. One line. Infinite loop. I wrote a beginner practice guide that walks through both classics: ✅ Sum of N numbers — counter loop, running sum, read inside the loop ✅ Sum of positive vs negative separately — two sums, if/else inside the loop ✅ Variables you need: num_of_numbers, sum, count (and why count < N, not <= N) ✅ Full program structure and trace examples ✅ Common mistakes: forget count += 1, wrong condition, forget to init sum to 0 ✅ Clear takeaways and next steps ~6 min read. No fluff. https://lnkd.in/gkhQBbuQ #Python #Programming #Coding #Beginners #LearnToCode #SumOfNumbers #WhileLoop #Practice #Tech #SoftwareDevelopment #CodingTips
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They wanted the maximum of 5 numbers. The program printed 0. Every number was negative. max = 0 fails when all inputs are negative. Read the first number into max, then loop for the rest. One idea, two bugs avoided. I wrote a beginner guide that covers two classics in one: ✅ Maximum of N numbers — read first into max, loop N−1 times, update if larger (and why not max = 0) ✅ Decimal to binary — divide by 2, collect remainders, reverse. In code: prepend to a string. ✅ Why the "build as number" method loses leading zeros (and why string method is correct) ✅ Full programs: max of N and decimal-to-binary with n=0 handled ✅ Summary, takeaways, and next steps (min, binary→decimal) ~6 min read. Straight to the point. https://lnkd.in/gqJWam9x #Python #Programming #Coding #Beginners #LearnToCode #Maximum #DecimalToBinary #Binary #WhileLoop #Practice #Tech #SoftwareDevelopment #CodingTips
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✅ Day 61 of 100 Days LeetCode Challenge Problem: 🔹 #260 – Single Number III 🔗 https://lnkd.in/gKWtdDrb Learning Journey: 🔹 Today’s problem focused on finding the two elements that appear only once in an array where all others appear twice. 🔹 I used a frequency counting approach with Counter to track occurrences. 🔹 Then, I iterated through the dictionary and collected elements with frequency equal to 1. 🔹 This straightforward method ensures correctness with clear logic. Concepts Used: 🔹 Hash Map / Dictionary 🔹 Frequency Counting 🔹 Array Traversal 🔹 Filtering Logic Key Insight: 🔹 Hash-based counting simplifies duplicate detection problems. 🔹 When constraints allow extra space, clarity can be prioritized over bit-level optimization. 🔹 This problem also has an advanced XOR-based O(1) space solution, but counting keeps the implementation simple and readable. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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🚀 900 LeetCode Questions Solved 🚀 Today I hit a milestone I once thought was impossible — 900 problems on LeetCode. This journey wasn’t about streaks or badges. It was about: Building disciplined problem-solving habits Strengthening data structures & algorithms fundamentals Learning to stay consistent even on low-motivation days Turning frustration into growth From struggling with basic recursion to confidently tackling dynamic programming and graph problems — every question added a layer of clarity. The biggest lesson? 👉 Consistency compounds. 👉 Small daily improvements beat occasional bursts of effort. Now aiming for 1000 — but more importantly, aiming to become a better thinker and engineer every single day. If you're on the DSA grind, keep going. The breakthrough is closer than you think. 💪 #LeetCode #DSA #CodingJourney #SoftwareEngineering #ProblemSolving #Consistency #TechGrowth #600DaysOfCode #Developers #python #Programming
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✅ Day 57 of 100 Days LeetCode Challenge Problem: 🔹 #1404 – Number of Steps to Reduce a Number in Binary Representation to One 🔗 https://lnkd.in/ggb5GXaW Learning Journey: 🔹 Today’s problem focused on reducing a binary number to 1 using specific rules. 🔹 If the number is even, divide it by 2. If it is odd, add 1. 🔹 I converted the binary string to an integer, applied the operation, and converted it back to binary after each step. 🔹 The process continued until the value became "1", counting the total operations. Concepts Used: 🔹 Binary Representation 🔹 Bit Manipulation Concepts 🔹 Simulation 🔹 Conditional Logic Key Insight: 🔹 Binary problems often map directly to parity checks (even vs odd). 🔹 Simulation is straightforward but understanding bit behavior can lead to optimized solutions. 🔹 Recognizing patterns in binary transitions improves problem-solving efficiency. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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✅ Day 56 of 100 Days LeetCode Challenge Problem: 🔹 #24 – Swap Nodes in Pairs 🔗 https://lnkd.in/g6W2b3Fq Learning Journey: 🔹 Today’s problem focused on swapping every two adjacent nodes in a linked list. 🔹 I used an iterative pointer manipulation approach to swap nodes in pairs without modifying node values. 🔹 A prev pointer helped connect previously swapped pairs with the current pair. 🔹 Careful handling of edge cases (empty list or single node) ensured correctness. Concepts Used: 🔹 Linked List Manipulation 🔹 Pointer Rewiring 🔹 Iterative Traversal 🔹 In-place Modification Key Insight: 🔹 Linked list problems often rely entirely on precise pointer updates. 🔹 Keeping track of previous connections prevents breaking the list structure. 🔹 Drawing pointer transitions step-by-step makes implementation much easier. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity
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