Understanding arrays is not enough knowing how to operate on them is key. In this short video, I covered: - Traversal (O(n)) - Insertion (O(1) at end, O(n) in middle) - Deletion (O(1) at end, O(n) in middle) - Why shifting elements impacts performance These fundamentals help in choosing the right data structure and writing optimized code. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #DataStructures #Algorithms

Most developers focus only on speed… but memory usage is equally important. This is where Space Complexity comes in. In this short video, I covered: - What is space complexity - Big O notation for memory - O(1), O(n), O(n²) explained - Why recursion uses extra space Understanding both time and space complexity helps you write efficient and scalable code. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #BigO #InterviewPreparation

What if a function could call itself to solve a problem? That’s exactly what Recursion is. In this short video, I explained: - What is recursion - Base case (stops execution) - Recursive case (reduces problem size) - Factorial example - Importance of call stack Recursion is widely used in solving complex problems like trees, graphs, and divide-and-conquer algorithms. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #Recursion #InterviewPreparation

Day 69 of #100DaysOfLeetCode 💻✅ Solved #349. Intersection of Two Arrays problem in Java. Approach: • Iterated through each element of the first array • Checked if the element exists in the second array • Used a temporary array to store intersection elements • Ensured no duplicates by checking already added elements • Copied the result into a final array of correct size Performance: ✓ Runtime: 4 ms (Beats 35.60%) ✓ Memory: 44.41 MB (Beats 96.71%) Key Learning: ✓ Practiced array traversal using nested loops ✓ Learned how to handle duplicates manually ✓ Improved understanding of set-like operations without using extra data structures Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #ProblemSolving #CodingJourney #100DaysOfCode

🚀Solved Validate Stack Sequences by simulating the stack using a simple array instead of relying on built-in stack classes. This helped reduce overhead and kept the operations efficient. Focused on writing clean logic with optimal time complexity. 😊 Result: 💯 Achieved 0 ms runtime beating 100% of submissions, with memory usage around 45.52 MB performing in the top percentile. 💥 #LeetCode #DSA #Java #Coding #ProblemSolving #Preparation #Anurag_University 🚀🚀

🚀 Exploring the principles of Object-Oriented Programming 🔹 Inheritance – reusing code effectively 🔹 Encapsulation – managing and protecting data 🔹 Polymorphism – one interface, multiple forms 🔹 Abstraction – hiding complexity Building a strong foundation in programming. 💻✨ #Java #OOP #Programming #LearningJourney #SoftwareDevelopment #consistency

Day4 - Understanding Hash collision A hash collision occurs in a hash-based data structure (like HashMap) when two different keys produce the same hash code and therefore are mapped to the same index or bucket in the hash table. Why occurs? 👉 The hashCode() function generates a fixed-size integer value for a key, but there are an infinite number of possible keys. 👉 Two Collision Resolution Techniques, 01. Separate Chaining 02. Open Addressing #java #coding #learning

Day 79 - Binary Tree Paths Solved a problem on generating all root-to-leaf paths in a binary tree using DFS recursion. This improves understanding of tree traversal and path construction techniques. Time Complexity: O(N) Space Complexity: O(N) #Day79 #CodingChallenge #LeetCode #BinaryTree #DSA #Java #Recursion #CodingJourney

Day 4/30 — DSA Challenge 🚀 Problem: Path Sum Topic: Tree + Recursion Difficulty: Easy Approach: Used DFS to traverse all root-to-leaf paths Kept a running sum while traversing At leaf node → checked if sum equals target Mistake / Challenge: Initially confused about when to check the sum Tried checking at every node instead of only at leaf nodes Fix: Checked condition only when reaching a leaf node Simplified recursion by passing current sum Key Learning: In tree problems, clearly identify the base condition (leaf node here) Avoid unnecessary checks at intermediate nodes Time Taken: 30 minutes Consistency check ✅ See you on Day 5. GitHub Repo: https://lnkd.in/gHW9vKUf #DSA #LeetCode #Java #Trees #Recursion #LearningInPublic

Mastering Java Collections made simple 🚀 From Array List to HashMap and HashSet — organize, store, and access data efficiently. Level up your coding skills with better data handling and smarter structures #Java #JavaCollections #Programming #CodingLife #Developer #SoftwareDevelopment #TechSkills #LearnToCode #DataStructures #CodingJourney #ITSkills #TechCareers #ProgrammerLife #ComputerScience #OibreTechnologies