Today I worked on a LeetCode problem that helped me understand integer overflow in Java more clearly. The challenge was to divide two integers and handle a special case where the result goes beyond the limit of a 32-bit integer. Example tricky case: -2147483648 / -1 The real answer should be 2147483648, but Java can’t store this because the maximum value of a 32-bit integer is 2147483647. So without handling it, the value overflows and becomes negative again! What I learned?? Integer values have limits in programming Going beyond that range causes overflow Always consider edge cases when dealing with math operations in code Solving problems like this builds confidence and improves my problem-solving mindset. One small step forward every day! #Java #LeetCode #CodingPractice #ProblemSolving #DeveloperJourney
How to handle integer overflow in Java with LeetCode
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💻 LeetCode 50 Days Challenge — Day 8: Median of Two Sorted Arrays Day 8 of my #LeetCode50DaysChallenge ✅ Today’s problem was about finding the median of two sorted arrays — Median of Two Sorted Arrays ✨ 🧩 Problem: Given two sorted arrays nums1 and nums2, return the median of the two sorted arrays. The challenge was to merge them efficiently and then determine the middle value(s). 💡 Approach: I used Java 8 Streams to merge both arrays in a single line using IntStream.concat(), followed by Arrays.sort() to sort the combined array. Finally, I calculated the median by checking if the array length is even or odd. ⏱️ Time Complexity: O((m + n) log (m + n)) (due to sorting) 📊 Example: Input: nums1 = [1, 2], nums2 = [3, 4] Output: 2.5 Each day, I’m getting more comfortable with cleaner and modern Java techniques like Streams — small steps toward writing concise and efficient code 🚀 #LeetCode #CodingChallenge #Day8 #ProblemSolving #Java #SoftwareDevelopment #Consistency #50DaysOfCode
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💻 LeetCode Challenge – Day 5: String to Integer (atoi) Today's problem was all about converting a string into an integer — seems simple, but the edge cases make it tricky! 🧠 🔹 Problem: Implement the atoi function, which converts a string to a 32-bit signed integer (just like in C/C++). 🔹 Key Learnings: ✅ Handling whitespaces and optional '+' or '-' signs ✅ Managing non-digit characters gracefully ✅ Preventing integer overflow & underflow ✅ Importance of clean parsing logic This problem really improved my understanding of string manipulation and boundary conditions in Java. 🚀 #LeetCode #100DaysOfCode #Java #CodingChallenge #ProblemSolving #StringToInteger #CodingJourney
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📅 Days 57–64 of My Coding Journey — Diving Deep into Java Exception Handling, Threads & Real-World Projects 💻 Over the past week, I explored some of the most practical and powerful concepts in Java that take coding from theory to real-world application. 💡 Topics I covered: ✅ Exception Handling – mastering try-catch-finally blocks, and creating Custom Exceptions for cleaner error control. ✅ Multithreading – understanding how threads work, how to start and manage them efficiently. ✅ StringBuilder & StringBuffer – learning the difference between mutable classes and thread safety in string manipulation. ✅ Explored important String methods to handle text effectively. ✅ Built a Patient Management System 🏥 — implementing OOP principles, exceptions, and thread usage in one project. #Day57 #Day58 #Day59 #Day60 #Day61 #Day62 #Day63 #Day64 #Java #ExceptionHandling #Threads #StringBuilder #StringBuffer #OOPS #CodingJourney #SoftwareEngineering #100DaysOfCode #LearningInPublic #KunalKushwaha #ProblemSolving
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🚀 Day 34 of 100 Days of LeetCode 📘 Problem: Merge Intervals 💻 Language: Java ✅ Status: Accepted — Runtime ⚡ 8 ms (Beats 86%) Today’s challenge was all about mastering interval merging, an essential concept for solving scheduling and range-based problems efficiently 🧩 By sorting intervals and carefully merging overlapping ones, I learned how crucial boundaries and comparisons are — both in coding and in life. ✨ Key Learnings: Sorting simplifies complex interval logic Smart use of conditions avoids unnecessary comparisons Handling edge cases builds precision thinking ⚙️ 💬 “Merge where it makes sense — in code and in life.” #Day34 #100DaysOfCode #LeetCode #Java #DSA #ProblemSolving #Algorithms #CodingJourney #SoftwareDevelopment #KeepLearning #CodeEveryday
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🚀 Day 56 of my #100DaysOfLeetCode Challenge 🚀 Today's problem: Matrix Diagonal Sum Language: Java In this challenge, I practiced calculating the sum of both primary and secondary diagonals of a square matrix. The goal was to improve my understanding of nested loops and conditional logic for index-based problems. Key Takeaways: Strengthened logic for 2D array traversal Improved debugging and edge case handling Reinforced clean, readable code habits Here’s the core idea from my solution: If i == j (primary diagonal) or i + j == n - 1 (secondary diagonal), add that element to the sum. #LeetCode #Java #CodingChallenge #100DaysOfCode #ProblemSolving #SoftwareEngineering
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💡 LeetCode 3467 – Transform Array 💡 Today, I solved LeetCode Problem #3467: Transform Array, which focuses on array manipulation and the use of conditional logic in Java — a neat problem that strengthens core programming fundamentals. ⚙️ 🧩 Problem Overview: You’re given an integer array nums. Your task is to: Replace even numbers with 0 Replace odd numbers with 1 Then, sort the transformed array in ascending order. 👉 Example: Input → nums = [4, 7, 2, 9] Output → [0, 0, 1, 1] 💡 Approach: 1️⃣ Iterate through the array. 2️⃣ Use a ternary operator to transform each element (even → 0, odd → 1). 3️⃣ Sort the array to arrange all zeros before ones. ⚙️ Complexity Analysis: ✅ Time Complexity: O(n log n) — due to sorting. ✅ Space Complexity: O(1) — in-place transformation. ✨ Key Takeaways: Practiced logical thinking and ternary operations in Java. Strengthened understanding of array transformations and sorting. Reinforced the value of writing clean, concise, and efficient code. 🌱 Reflection: Even simple transformation problems like this one sharpen the habit of thinking algorithmically. Consistency in small challenges leads to big growth in problem-solving skills. 🚀 #LeetCode #3467 #Java #ArrayManipulation #LogicBuilding #ProblemSolving #CodingJourney #DSA #CleanCode #ConsistencyIsKey
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💡 LeetCode 1929 – Concatenation of Array 💡 Today, I solved LeetCode Problem #1929: Concatenation of Array, a simple yet satisfying problem that tests your understanding of array manipulation and indexing in Java. ⚙️📊 🧩 Problem Overview: You’re given an integer array nums. Your task is to create a new array ans such that ans = nums + nums (i.e., concatenate the array with itself). 👉 Example: Input → nums = [1,2,1] Output → [1,2,1,1,2,1] 💡 Approach: 1️⃣ Find the length n of the given array. 2️⃣ Create a new array of size 2 * n. 3️⃣ Loop through nums once — place each element both at index i and index n + i. 4️⃣ Return the resulting array. ⚙️ Complexity Analysis: ✅ Time Complexity: O(n) — Single traversal of the array. ✅ Space Complexity: O(n) — For the concatenated array. ✨ Key Takeaways: Practiced index manipulation and array construction. Reinforced the importance of efficient iteration. A great warm-up problem that strengthens logical thinking and array fundamentals. 🌱 Reflection: Even the simplest problems build the foundation for solving more complex ones. Every bit of consistent practice helps in mastering problem-solving and clean coding habits. 🚀 #LeetCode #1929 #Java #ArrayManipulation #DSA #CodingJourney #CleanCode #ProblemSolving #AlgorithmicThinking #ConsistencyIsKey
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🧠 Daily LeetCode Grind — Java Edition Today’s challenge: ✅ Container With Most Water (#11 - Medium) 📌 Goal: Given an integer array height[], find two lines that, together with the x-axis, form a container that holds the most water. 📌 Approach: 🔹 Use the Two-Pointer Technique to optimize the search for the maximum area. 🔹 Start with two pointers at both ends of the array and calculate the area at each step. 🔹 Move the pointer pointing to the smaller height inward to maximize potential area. 🔹 Continue until both pointers meet. 🧩 Test Case: Input: height = [1,8,6,2,5,4,8,3,7] Output: 49 💡 Key Takeaways: 🔹 Learned to balance area optimization using width × height. 🔹 Reinforced the power of the two-pointer approach for reducing time complexity. 🔹 Strengthened problem-solving speed through mathematical reasoning. 💻 Language: Java 🧠 Complexity: O(n) — single pass using two pointers. #LeetCode #Java #CodingPractice #ProblemSolving #TwoPointer #Algorithm #DeveloperLife #CybernautEdTech #AcceptedSolution
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NeetCode 35 | LeetCode #143 | Reorder Linked List This one’s all about mastering pointer manipulation! Steps I followed: 1️⃣ Find the middle using slow & fast pointers 2️⃣ Reverse the second half 3️⃣ Merge both halves alternately Such problems really sharpen understanding of linked list structure and in-place rearrangement. #NeetCode #LeetCode #Java #DSA #LinkedList #Algorithms #CodingJourney #ProblemSolving
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