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
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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
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Understanding Arrays is the first step in mastering Data Structures. In this short video, I explained: - What is an array - How index-based access works - Contiguous memory concept - O(1) access time - Basic declaration in Java Arrays form the foundation for many advanced data structures like stacks, queues, and hash tables. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #Beginners #DataStructures
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Understanding Arrays.sort(s, 0, n, (a, b) -> …) When you see this method, here’s what it actually means: s → the array you’re sorting 0 → the starting index (inclusive) n → the ending index (exclusive) (a, b) → a lambda expression defining how two elements are compared 💡 In simple terms: “Sort only the part of the array from index 0 to n-1 using your custom comparator.” This is extremely useful when handling partial datasets, custom numeric ordering, BigDecimal comparisons, or stable sorting rules. #Java #Programming #Developers #TechLearning
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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
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🚀 Day 23 of #50DaysOfCode Solved Daily Temperatures (LeetCode 739) 🌡️ Today’s focus was on mastering the Monotonic Stack concept — one of the most powerful patterns in DSA. Learned how to efficiently find the next greater element by storing indices and resolving them smartly instead of brute force. 💡 Key Learnings: • Stack helps reduce time complexity from O(n²) → O(n) • Always think in terms of “pending answers” • Monotonic stacks are 🔥 for interview questions ✅ Status: Accepted ✔️ ⏱️ Optimized approach implemented Every day getting better at problem-solving and consistency 💪 #DSA #LeetCode #Java #CodingJourney #Consistency #100DaysOfCode #Programming
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🚀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 🚀🚀
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How do you solve problems where you need to try every possible combination? This is where Backtracking comes in. In this short video, I explained: - What is backtracking - How it works (try → explore → undo) - Real-world examples like N-Queens and Sudoku - Importance of pruning Backtracking is a powerful approach for solving complex constraint-based problems. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #Algorithms #InterviewPreparation
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🤯 Most developers get this wrong! The misconception: You might think the output is 2147483648. After all, Math.abs() should return a positive value… right? The reality: The output is actually -2147483648. Yes — still negative. Why does this happen? 🧠 • Integer limits: In Java, int is a 32-bit signed integer. Integer.MIN_VALUE = -2147483648 • Maximum value: Integer.MAX_VALUE = 2147483647 • The catch (overflow): The positive counterpart of Integer.MIN_VALUE doesn’t fit in an int. Because Java uses two’s complement, it overflows… and wraps right back to the same negative value. How to handle it? 🛠️ Use Math.absExact() if you want to catch this edge case. It throws an ArithmeticException instead of silently overflowing. Drop a 💻 if you knew this, or a 🤯 if this surprised you! #Java #Programming #Coding #DeveloperLife #TechTrivia #ComputerScience #SoftwareEngineering #LearnToCode #CodingMisconceptions
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Day 41 #SDE stack-based validation and dynamic programming on strings. Solved: • Bracket Challenge • Word Break Key Learning: • “Bracket Challenge” reinforces the use of a stack to validate balanced parentheses and handle nested structures efficiently. • “Word Break” revisited the DP + memoization approach, where we check valid segmentations of a string using a dictionary. #LeetCode #DSA #Stack #DynamicProgramming #Algorithms #Java #SoftwareEngineering
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A while back I released algodesigner-genetic, a lightweight, no-nonsense Genetic Programming library for Java. What makes it different: - Zero external dependencies - Available on Maven Central - Simple enough for learning, flexible enough for prototyping If you tinker with GP/GA in Java, give it a look. https://lnkd.in/gH7ErDts #Java #GeneticProgramming #OpenSource #Coding #AI
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