Efficient Two Sum Solution with HashMap

Solved the Rotate Image problem using an in-place approach without extra memory. The solution first transposes the matrix and then reverses each row to achieve a 90-degree clockwise rotation. This avoids using additional space and performs the transformation efficiently within the same matrix. Time Complexity: O(n²) Space Complexity: O(1) Understanding matrix transformations like transpose and reverse helps in solving grid-based problems efficiently and building strong problem-solving fundamentals. #Java #DSA #ProblemSolving #Coding #SoftwareEngineering #LeetCode #Developers

Solved the Longest Consecutive Sequence problem using a HashSet for efficient lookup. Instead of sorting the array, the approach identifies the starting point of a sequence and expands forward to count its length. By only starting from numbers that do not have a previous consecutive element, the algorithm avoids redundant checks and ensures optimal performance. Time Complexity: O(n) Space Complexity: O(n) Understanding how to use hashing for constant-time lookups helps in solving complex problems efficiently and writing optimized, interview-ready code. #Java #DSA #ProblemSolving #Coding #SoftwareEngineering #LeetCode #Developers

Solved the Majority Element problem using the Boyer–Moore Voting Algorithm. This approach efficiently finds the element that appears more than n/2 times by maintaining a candidate and a counter. Instead of using extra space like HashMap, the algorithm works by canceling out different elements and keeping track of the potential majority element in a single pass. Time Complexity: O(n) Space Complexity: O(1) Understanding such optimal algorithms strengthens problem-solving skills and helps in writing clean, memory-efficient, and interview-ready code. #Java #DSA #ProblemSolving #Coding #SoftwareEngineering #LeetCode #Developers

The fastest way to identify a strong engineer is simple. Watch how they debug. Anyone can write code. But debugging requires something deeper: 🧠 Understanding systems 🔍 Reading logs carefully 🧩 Connecting small clues ⚙ Knowing how components interact Great debuggers don't guess. They form hypotheses and test them. They narrow down the problem step by step. In large production systems, debugging is often more valuable than coding. Because the hardest problems are not writing features. They are understanding why something broke. #Debugging #SoftwareEngineering #Java #BackendDevelopment #DeveloperSkills #EngineeringMindset

Hello Everyone👋👋 What is a Java Virtual Machine? JVM is a Java interpreter. It loads, verifies and consequently executes the bytecode created in this language. It is platform-dependent wherein its software is different for different operating systems. #Java #backend #frontend #FullStack #software #developer #programming #code #inheritance #class #object #AI #GenAI #OpenAI #Array #ArrayList #HashMap #collections #Claude #LLM #RAG #Langchain #super #constructor #functional #interface #abstract #React #interview

LeetCode Problem || Prime Number of Set Bits in Binary Representation(762)🚀 Solved an interesting bit manipulation problem today! Problem : Given two integers left and right, count how many numbers in that range have a prime number of set bits (1s) in their binary representation. This problem shows how: Binary representation connects with number theory Built-in methods like bitCount() simplify bit problems Constraint analysis helps optimize thinking Small problems like this build strong fundamentals in bit manipulation. #LeetCode #Java #BitManipulation #PrimeNumbers #ProblemSolving #CodingJourney #100DaysOfCode

Java Devs — quick poll time! “Do you believe me if I say Stream API is slower than a simple for loop when we’re just iterating? 👀” The Raw Speed Reality 🔥 When processing simple primitives or small-to-medium collections, for loop wins every time. Why? • Zero infrastructure → pure primitive bytecode • No objects, no pipeline setup • JIT compiler is obsessed with it (25+ years of loop unrolling mastery) Streams? They pay the price of object creation + functional interfaces. But here’s why we still use Streams every day 💙 We don’t just optimize CPU cycles… we optimize human cycles too! ✅ Super readable: .filter().map().collect() tells the story ✅ Parallelism in one word: just add .parallel() Bottom line: Don’t let “modern” syntax trick you into thinking it’s automatically faster. Choose the right tool for the job. #Java #Programming #Performance #CleanCode #SoftwareEngineering #TechDebate

Day 35/100 - LEETCODE Challenge ✅ Problem : Permutations Implemented a Java program to generate all permutations of an integer array and store them in a List<List<Integer>> using a backtracking approach. This solution avoids built-in permutation utilities and efficiently explores all possible arrangements by recursively building combinations and undoing choices (backtracking). Strengthened understanding of recursion, data structures (List, ArrayList), and algorithmic problem solving commonly used in coding interview platforms like LeetCode. #100DaysOfCode #java #Coding #SoftwareDeveloper

🚀Understanding @#Autowired in #SpringFramework Today I learned about @Autowired in the Spring Framework. 🔎 @Autowired is used for automatic dependency injection. It tells the Spring Container to automatically inject the required bean. Instead of creating objects manually using new, Spring automatically connects the required dependencies. 📌 Example: @Component public class StudentService { @Autowired private StudentRepository repository; } This helps reduce boilerplate code and makes applications loosely coupled. #SpringFramework #Java #BackendDevelopment #SpringBoot #LearningJourney 10000 Coders Understanding @Autowired Annotation Content: Automatic Dependency Injection Spring injects required beans automatically Reduces manual object creation

Day 32/100 | #100DaysOfDSA 🌳✨ Today’s problem: Symmetric Tree A tree is symmetric if the left subtree is the mirror of the right subtree. Approach: • Use two queues • Compare left and right nodes together • Check mirror conditions at every step If values mismatch → Not symmetric. Time Complexity: O(n) Space Complexity: O(n) Big takeaway: Symmetry in trees is just mirror comparison at every level. Understanding trees deeper every day. 🚀 #100DaysOfCode #LeetCode #DSA #BinaryTree #Trees #Java #CodingJourney #ProblemSolving #InterviewPrep #TechCommunity #SoftwareEngineer #Consistency #Programmers #TechGrowth