Drawbacks of Arrays – Know Before You Use! Arrays are one of the most fundamental data structures, but they come with their own limitations 👇 🔹 Fixed size – once declared, it can’t be changed 🔹 Insertion & deletion are time-consuming 🔹 Requires contiguous memory allocation 🔹 No dynamic resizing capability Understanding these drawbacks helps in choosing the right data structure for efficient problem-solving #DataStructures #Programming #Java #Coding #SoftwareDevelopment #Learning #TechTips
Array Drawbacks: Size Limitations and Performance Issues
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Day 2: Encapsulation After understanding classes and objects, the next step is learning how to protect data. Encapsulation is the idea of keeping data inside a class and controlling how it is accessed or changed. That is why we use "private" for variables and "public" methods like getters and setters. The goal is simple. Do not let data be changed carelessly. Control it in a clean and structured way. #Java #OOP #Programming #SoftwareEngineering #ComputerScience #koofkee
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🚀 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
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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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💻 Built a Diamond Pattern in Java using pure logic and nested loops. While practicing DSA fundamentals, I implemented this pattern by understanding how spaces and stars align in each row. This helped me strengthen my control over loops, conditions, and pattern-based problem solving. 📌 Key Learning: Breaking a complex pattern into smaller logical steps makes it much easier to implement. Consistency in solving such problems is what builds strong programming logic. #Java #DSA #Programming #CodingJourney #ProblemSolving #LogicBuilding #Developers #Learning #100DaysOfCode
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🚀 Code 6 – #50LeetCodeChallenge 🧩 Problem: Search Insert Position Given a sorted array of distinct integers and a target value, return its index if found. If not, return the position where it should be inserted to maintain sorted order. 💡 Approach: Use Binary Search to efficiently locate the target or its correct insertion position in O(log n) time. 📚 Key Takeaway: Binary search is the go-to technique for problems involving sorted arrays, especially when optimal time complexity is required. #LeetCode #Java #Coding #ProblemSolving #BinarySearch #Arrays #Programming
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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 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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🚀 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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Saving this as a reminder of what long-term consistency looks like. 1070/2002 days of code and 1800+ LeetCode questions is not about talent, it’s about discipline. As I work on my own 365 days of code and data journey, posts like this keep me going. Inspiring work, Shivam. 🔥
1001+/2002daysofcode | Tech Apprentice@Morgan Stanley | 1800+ questions on Leetcode | 2 Million+ Impressions | Python | MERN | AIML | Uncompetitive Programmer | *Building unique and good software hopefully
𝐒𝐮𝐩𝐞𝐫 𝐭𝐢𝐫𝐞𝐝 𝐣𝐮𝐬𝐭 𝐰𝐫𝐨𝐭𝐞 𝐭𝐡𝐢𝐬 𝐨𝐧𝐞 𝐥𝐢𝐧𝐞𝐫 𝐬𝐨 #day1070 of #2002daysofcode Leetcode: 3898. Find the Degree of Each Vertex Shivam Mahajan Shivanshu #2002DaysOfCode #100DaysOfCode #1001DaysOfCode #Dsa #Python #Java #Coding #GeeksForGeeks #Notion #Programming #Daily #Cpp #Learning #Leetcode #Codeforces
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Object-Oriented Programming (OOP) is a fundamental concept every developer should master. 📌 Key concepts covered: • Classes & Objects • Encapsulation • Inheritance • Polymorphism These principles help you write modular, scalable, and reusable code. 💡 Strong fundamentals lead to better software development. #Python #OOP #Programming #SoftwareDevelopment
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