Mastering Java Arrays with a Clear Roadmap

🚀 Learning Java the Right Way Today, I practiced another interesting Java logic problem — Armstrong Number. An Armstrong number is a number where the sum of the cubes of its digits is equal to the number itself. For example: 153 → 1³ + 5³ + 3³ = 153 ✅ 🔹 Approach: *Store the original number *Extract each digit using % 10 *Cube the digit and add to sum *Compare the result with the original number This problem improves: ✔ Loop control ✔ Digit extraction logic ✔ Mathematical thinking ✔ Problem-solving confidence Practicing such number-based problems helps build a strong foundation for coding interviews and logical reasoning. 📌 Strong basics • Clean logic • Confident Java foundation 💡 #java #javafullstack #javadeveloper #corejava #codingjourney #coding

Day 29 of #100DaysOfLeetCode 💻✅ Solved #22. Generate Parentheses on LeetCode using Java. Approach: • Used Backtracking to generate all valid combinations • Added "(" only if open brackets were available • Added ")" only when close brackets were greater than open • Ensured at every step that the parentheses remain balanced • Stopped recursion when both open and close counts reached zero Performance: ✓ Runtime: 3 ms (Beats 16.29% submissions) ✓ Memory: 45.18 MB (Beats 13.87% submissions) Key Learning: ✓ Strengthened understanding of Backtracking technique ✓ Learned how to maintain constraints during recursion ✓ Improved ability to build combinations using decision trees Learning one problem every single day 🚀 #Java #LeetCode #DSA #Backtracking #Recursion #ProblemSolving #CodingJourney #100DaysOfCode

🚀 Week 8 – Java + DSA Journey Update This week was all about strengthening my problem-solving skills and diving deeper into Data Structures using Java. 💻 🔹 What I focused on: Arrays & Advanced Array Problems Two Pointer Technique Sliding Window Concepts Solved multiple problems on LeetCode 🔹 Key Learnings: Learned how to optimize brute force solutions into efficient ones (O(n)) Understood real use of two pointers in problems like pair sum & sorting-based questions Sliding window made problems like longest substring much more efficient 🔹 Challenges faced: Some problems looked easy but required deep thinking to optimize. Debugging logic took time, but consistency helped 💪 🔹 Progress: Improved coding speed ⏱️ Better understanding of patterns instead of just memorizing solutions 📌 Goal for next week: Start Linked List Practice medium-level problems consistently Consistency is the only key 🔑 #Java #DSA #LeetCode #CodingJourney #SoftwareEngineering #LearningInPublic

🚀 DSA Learning Journey | Day 6 | Java Solved “Find Minimum in Rotated Sorted Array.” 💡 Key Idea: Used Binary Search to locate the pivot point where the rotation happens and identify the minimum element efficiently. ⚙ Implementation • Language: Java • Time Complexity: O(log n) • Space Complexity: O(1) 📚 Learning how binary search can be applied to modified sorted arrays. #Java #DSA #LeetCode #ProblemSolving #BinarySearch #JavaDeveloper #day6

🚀 Day 37/100 – LeetCode Challenge ✅ Problem Solved: 67. Add Binary 🟢 Difficulty: Easy 💻 Language: Java ⚡ Runtime: 1 ms (Beats 99.86%) Today’s problem was about adding two binary strings and returning their sum as a binary string. 🔎 Key Learning: Simulating binary addition manually (like elementary math addition) Handling carry properly Using StringBuilder for efficient string manipulation Traversing strings from right to left 🧠 Approach: Start from the last index of both strings Add digits along with carry Append sum % 2 to result Update carry as sum / 2 Reverse the result at the end 💡 Why this problem is important? It strengthens: String manipulation skills Understanding of number systems Edge case handling (different lengths, leftover carry) Consistency > Motivation. 37 days down, 63 to go! 💪🔥 #Day37 #100DaysOfCode #LeetCode #Java #ProblemSolving #CodingJourney #SoftwareEngineering #DSA

Most developers use control statements. But not everyone truly understands how they control program flow. Here’s a complete cheat sheet covering: ✔ if & switch (Decision Making) ✔ for, while, do-while (Looping) ✔ Enhanced for (for-each) ✔ break & continue ✔ Big-O complexity insights Whether you're: • Preparing for Java interviews • Revising core fundamentals • Teaching Java • Or building logic clarity Mastering control flow = mastering programming thinking. Which loop do you use the most in real projects — for or while? 👇 Save this for revision. Share with someone learning Java. Follow @BodiliYashwanthSai for deep Java concepts. #Java #JavaDeveloper #CoreJava #Programming #SoftwareEngineering #Coding #Developers #DataStructures #BigO #TechLearning #LearnToCode #100DaysOfCode #JavaInterview #BackendDevelopment #ComputerScience

Day 30 of #100DaysOfLeetCode 💻✅ Solved #108. Convert Sorted Array to Binary Search Tree on LeetCode using Java. Approach: • Used Divide and Conquer strategy • Selected the middle element as the root to maintain balance • Recursively built the left subtree using left half of array • Recursively built the right subtree using right half of array • Ensured the tree remains height-balanced at every step Performance: ✓ Runtime: 0 ms (Beats 100.00% submissions) ✓ Memory: 45.18 MB (Beats 44.10% submissions) Key Learning: ✓ Understood how sorted arrays can directly map to balanced BST ✓ Strengthened recursion fundamentals in tree construction ✓ Improved understanding of height-balanced binary trees Learning one problem every single day 🚀 #Java #LeetCode #DSA #BinarySearchTree #Recursion #DivideAndConquer #ProblemSolving #CodingJourney #100DaysOfCode

Day 27 of #100DaysOfLeetCode 💻✅ Solved #83. Remove Duplicates from Sorted List on LeetCode using Java. Approach: • Utilized the fact that the linked list is already sorted • Traversed the list using a single pointer • Compared current node value with next node value • If duplicate found, skipped the next node by updating links • Continued traversal until reaching the end of the list Performance: ✓ Runtime: 0 ms (Beats 100% submissions) ✓ Memory: 45.30 MB (Beats 85.70% submissions) Key Learning: ✓ Understood how sorting simplifies duplicate removal logic ✓ Strengthened pointer manipulation skills in linked lists ✓ Learned efficient in-place modification without extra space Learning one problem every single day 🚀 #Java #LeetCode #DSA #LinkedList #ProblemSolving #CodingJourney #100DaysOfCode

 🚀 Day 17 – Understanding Class vs Object in Java Today was focused on one of the most fundamental concepts in Object-Oriented Programming: Class vs Object. Instead of just reading theory, I implemented a practical example to clearly understand how objects are created from a class blueprint. 🧠 What I Strengthened: ✔ A class as a blueprint/template ✔ Objects as real-world instances ✔ Instance variables for storing object-specific data ✔ Methods to define object behavior ✔ Creating and using multiple objects 💡 Key Learning: A class defines structure. An object gives it life. Understanding this distinction is crucial because every scalable software system is built around object interaction. Today helped me think more in terms of modeling real-world entities into structured code — an essential skill for backend and application development. #100DaysOfCode #Java #OOP #ClassAndObject #SoftwareDevelopment #JavaDeveloper #BackendDeveloper #ProgrammingFundamentals #CodingJourney #TechGrowth #ComputerScience #DeveloperGrowth #LearningDaily