Learning Data Types in Programming: Integer, Float, Double, Boolean

MY DSA LEARNING LOG "Not a 100 days or 365 days challenge, just about my consistency on problem solving." Today I solved 2 Medium problems. Platform : LeetCode Arrays: Medium – 3Sum Solved using the Sorting + Two Pointer Approach. The idea is to first sort the array, then fix one element and use two pointers (left and right) to find the other two numbers whose sum becomes zero. Duplicate elements are skipped to avoid repeated triplets. Time Complexity: O(n²), Space Complexity: O(1). Medium – Top K Frequent Elements Solved using HashMap + Priority Queue (Max Heap). First counted the frequency of each element using a HashMap, then used a Priority Queue to extract the top k elements with the highest frequency. Time Complexity: O(n log n), Space Complexity: O(n). Also continued pushing the solutions to my GitHub repository. GitHub Repository: [https://lnkd.in/g9Mgu4eT] Let me come back with tomorrow’s learning. #DSA #DataStructures #Algorithms #ProblemSolving #Java #CodingPractice #LeetCode #Programming #SoftwareEngineering #LearningInPublic

📚 Learning Journey – Data Structures Today I learned about how arrays work in programming (Java). I explored: • What an array is and how it stores multiple values in a single variable • How array elements are stored in continuous memory locations • How indexing works (starting from 0) • Basic operations like accessing, inserting, and iterating through elements Understanding arrays is an important first step in Data Structures and Algorithms (DSA), and it helps build a strong programming foundation. Excited to keep learning and solving more problems every day! 💻✨ #Java #DSA #Programming #LearningJourney #Coding #ComputerScience

🤯 I used to think all languages in tech are the same… until I learned this! 🚀 Day 6/100 – Query Language vs Programming Language Continuing my #100DaysOfSQL journey 💻 At first, I was confused between Query Languages and Programming Languages… but the difference is actually simple 👇 🔹 Query Languages like SQL → used to communicate with databases & manage data 🔹 Programming Languages like Java & Python → used to build applications and systems 💡 Easy way to remember: 👉 Query Language = Data Handling 👉 Programming Language = Application Building Understanding this cleared a big confusion in my backend learning journey 🔥 Step by step, I’m connecting concepts and moving closer to becoming a Full Stack Developer 🚀 👇 Let’s interact: What did you learn first — SQL or a programming language? #FullStackJava #JavaDeveloper #BackendDevelopment #SQL #Python #Programming #100DaysOfCode #LearningJourney

Improving my coding skills by learning Data Structures & Algorithms. Strengthening logic, optimization techniques, and real-world problem-solving ability through consistent practice. • Practiced Sorting & Searching algorithms • Explored Graph traversal and shortest path concepts • Learned Dynamic Programming fundamentals • Covered Trees, Greedy & Backtracking approaches • Implemented problems using Java Step by step, building a stronger foundation for technical interviews and real-world development. Feel free to Repost and Follow Himansh S. for more resources. #DSA #Programming #Coding #Java #ProblemSolving #TechSkills #Learning

Understanding Data Structures and Object-Oriented Programming is essential for every Computer Science student. To help with that, I created two full playlists covering these topics step by step. 📊 23 lectures ⏱️ 13+ hours of content 💻 Real explanations and examples Playlists: Data Structure: https://lnkd.in/gMmXdBN4 OOP1 (JAVA) : https://lnkd.in/gnpDnjEE If you're learning these topics, feel free to check them out. Feedback and suggestions are always welcome! #ComputerScience #DataStructures #OOP #ACS

🚀 Day 5 of My DSA Journey – Practicing Recursion & Subarrays Today’s session was a continuation of Recursion, one of the key concepts in Data Structures & Algorithms. Building on yesterday’s concepts, we practiced multiple problems to understand how recursion works in real programming scenarios. 🔹 Recursion Problems Practiced ✔ Count the number of digits in a number ✔ Find the sum of digits of a number ✔ Reverse a string using recursion ✔ Check whether a string is a palindrome using recursion ✔ Find the sum of all elements in an array using recursion These problems helped us understand how a function repeatedly calls itself until the base condition is reached. 🔹 Concept Revision – Subarrays We also revisited the Subarray concept and solved several problems related to subarrays. Additionally, we explored count-based problems using recursion, which strengthened our recursive thinking and logic-building skills. ⚡ Key Takeaways ✔ Recursion breaks complex problems into smaller subproblems ✔ A base condition is essential to stop recursion ✔ Recursion improves logical thinking and problem-solving skills Every day of practicing DSA is helping me build stronger algorithmic thinking and coding confidence 🚀 #DSA #Recursion #Subarrays #Algorithms #ProblemSolving #CodingJourney #Programming #Java #LearningEveryDay

Day 15 of Programming - 🔥 Understanding Multiple Sorted Arrays in Programming In data structures, multiple sorted arrays refer to two or more arrays where elements in each array are already arranged in sorted order (ascending or descending). The common task is to merge these arrays into a single sorted array while maintaining the order. 📌 Example 1 Array 1 → [1, 3, 5, 7] Array 2 → [2, 4, 6, 8] Merged Array → [1, 2, 3, 4, 5, 6, 7, 8] 📌 Example 2 Array 1 → [10, 20, 30] Array 2 → [15, 25, 35] Merged Array → [10, 15, 20, 25, 30, 35] 💡 Where is it used? ✔ Database record merging ✔ Combining sorted search results ✔ Algorithms like Merge Sort ✔ Handling large datasets efficiently 📊 Key Idea: Compare elements from arrays and insert the smallest element first to maintain sorted order. Understanding this concept helps build a strong foundation in Data Structures and Algorithms (DSA). #Java #DSA #Programming #Arrays #Coding #SoftwareDevelopment #LearningInPublic

🚀 Just finished building a "Student Database Integration" using Python! I’ve been working on my data structure skills and built a robust system to manage student records. It was a great exercise to practice efficiency and data integrity. I have licensed this project under GPL v3, ensuring open-source contribution and proper credit attribution. Key features I coded: ✅ Sets (Automatically handling unique Roll Numbers). ✅ Nested Dictionaries (Mapping student names and marks lists). ✅ Tuples (Ensuring passing threshold immutability). ✅ Logic Building (Calculating averages and verifying IDs). ✅ Data Management (Updating records and appending marks dynamically). Check out the code on GitHub here: https://lnkd.in/guS4VYd8 #Python #Coding #Programming #ProjectBasedLearning

𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗮𝗻 𝗔𝗿𝗿𝗮𝘆 | DSA Problem Explanation Today I explained one of the most fundamental problems in Data Structures — Reverse an Array. The idea is simple but very important for building strong problem-solving skills. We use the Two Pointer Technique: • One pointer starts from the beginning of the array • The second pointer starts from the end • Swap the elements and move both pointers toward the center This continues until both pointers meet, and the array gets reversed in-place without using extra space. Time Complexity: O(n) Problems like these help strengthen the basics of DSA and algorithmic thinking, which are essential for coding interviews and placements. #DataStructures #DSA #Java #CodingPractice #GeeksforGeeks #ProblemSolving #Programming #CodingJourney #TechStudents #LearningInPublic

What I learned this week as a Computer Science student: This week I focused on improving my understanding of: ✔ Data Structures ✔ Object-Oriented Programming ✔ Writing cleaner Java code One thing I realized is that coding is not just about writing code — it's about solving problems efficiently. Every week I try to improve a little more. What are you currently learning in tech? #ComputerScience #CodingJourney #Java #Programming #TechLearning