Java Encapsulation for Secure and Maintainable Code

📅 Day 2  🔹 Operators 🔹 Oops Concepts 🔹 Class ,Object,Methods 🔹 Inheritance,Abstraction 🔹Polymorphism and Encapsulation 💡 Key takeaway: Looking forward to diving deeper into Java tomorrow! #Oops #Java #LearningJourney #Programming

#Day8 🚀 ThreadPoolExecutor — how thread pools really work *💡Most developers use Executors, but under the hood it’s powered by ThreadPoolExecutor. Understanding this changed how I design concurrent systems 👇 👉 Task handling flow: Create threads up to corePoolSize Then queue tasks If queue is full → create threads up to maxPoolSize If still full → apply rejection policy ThreadPoolExecutor executor = new ThreadPoolExecutor( 2, 4, 10, TimeUnit.SECONDS, new ArrayBlockingQueue<>(2) ); 💡 Key insight: Unbounded queues can cause memory issues — always design thread pools carefully. #Java #Multithreading #Learning #Concurrency #JavaDeveloper #Threads101 #Coding #InterviewPreparation

🚀 Understanding Autowiring in Spring + Key Difference: byName vs byType In Spring Framework, Autowiring simplifies dependency injection by automatically connecting beans without explicit configuration. Instead of manually writing <property> or <constructor-arg>, Spring intelligently injects dependencies for us — saving time and reducing boilerplate code. 💡 Two commonly used Autowiring modes: 🔹 byName Matches the bean id with the property name Works only if names are exactly the same Example: property engine → bean id must be engine 🔹 byType Matches based on the data type of the property Automatically injects the bean of that type ⚠️ Fails if multiple beans of the same type exist 📊 Quick Comparison: ✔ byName → depends on naming convention ✔ byType → depends on class/type matching 🎯 When to use what? Use byName when naming is consistent and controlled Use byType when working with clear, unique bean types 👉 In modern development, annotation-based autowiring (@Autowired) is more commonly used for flexibility and cleaner code. Thanks Anand Kumar Buddarapu #Java #SpringBoot #DependencyInjection #Autowiring #BackendDevelopment #Programming

💫 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬 𝐢𝐧 𝐒𝐩𝐫𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 Today I explored one of the core concepts of the Spring Framework — Dependency Injection and its types. 🔹 𝐏𝐫𝐢𝐦𝐢𝐭𝐢𝐯𝐞 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 Injecting simple values like int, String, boolean directly into objects. 🔹 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 Injecting a group of values using collections like List, Set, Map, etc. 🔹 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 Injecting one object into another — the heart of Spring DI, enabling loose coupling and scalable design. 💡 Key Insight: While primitive and collection dependencies handle data, reference dependency is what truly powers real-world applications. Understanding these concepts helps in building clean, maintainable, and loosely coupled applications — which is exactly what modern development demands. #SpringFramework #JavaDeveloper #DependencyInjection #BackendDevelopment #Java #SpringBoot #Programming #SoftwareEngineering #Coding #TechLearning #Developers #LinkedInLearning 𝐓𝐡𝐚𝐧𝐤𝐬 𝐭𝐨 𝐦𝐲 𝐌𝐞𝐧𝐭𝐨𝐫 : Anand Kumar Buddarapu Saketh Kallepu Uppugundla Sairam

Stop using ArrayList for everything. Picking the right data structure isn't just about making your code work; it's about making it perform. Choosing a Set over a List can be the difference between an O(n) and an O(1) lookup. This infographic is one of the best visual breakdowns I’ve seen for the Java Collections Framework: List: When order and duplicates matter. Set: When uniqueness is your top priority. Queue: For that "first-in, first-out" processing flow. Map: When you need fast retrieval via key-value pairs. Which one do you find yourself reaching for most often in your day-to-day? #Java #Programming #SoftwareEngineering #JavaCollections #CodingTips

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

📌 Understanding the Fundamentals of Java For Loop A for loop is one of the most powerful control structures used for iteration. It operates based on three key components: 1️⃣ Initialization – Defines the starting point 2️⃣ Condition – Determines when the loop should stop 3️⃣ Step (Update) – Controls how the loop progresses 🔄 Execution Flow: Initialization → Condition → Execute → Step → Repeat 📈 Types of Iteration: • Forward Loop → Increment (i++) → Example: 1 to 9 • Backward Loop → Decrement (i--) → Example: 9 to 1 💡 Key Insight: A for loop is essentially movement across a number line with a defined start, end, and step. This simple visualization helps in understanding: ✔ Loop control ✔ Iteration logic ✔ Avoiding infinite loops #Java #SoftwareDevelopment #Programming #Coding #TechLearning

💡 Key benefits of using Spring Boot for REST APIs: ✅ Rapid development with minimal configuration. ✅ Embedded server (Tomcat/Jetty) support. ✅ Powerful annotation-based programming model (@RestController, @RequestMapping). ✅ Easy integration testing and documentation (Swagger/OpenAPI). #SpringBoot #Java #RESTAPI #BackendDevelopment #SoftwareEngineering #Microservices #TechCommunity #Coding #API

🚀 POTD Completed – Push Zeros To End (Java) Consistency is starting to show results 💯 Today’s Problem of the Day was all about optimizing array manipulation by pushing all zeros to the end while maintaining the order of non-zero elements. 🔹 Approach I Used: Instead of using extra space, I focused on an in-place solution. 1️⃣ Traverse the array 2️⃣ Maintain an index (idx) for placing non-zero elements 3️⃣ Copy all non-zero elements forward 4️⃣ Fill the remaining positions with zeros This ensures: ✔️ Time Complexity: O(n) ✔️ Space Complexity: O(1) 💡 Key Insight: The idea is not to “move zeros”, but to “shift non-zeros forward efficiently”. 🔥 Result: ✅ 1115 / 1115 test cases passed ✅ 100% accuracy ✅ Clean and optimal solution Every small problem solved builds stronger logic and confidence. Day by day, step by step — getting closer to mastering DSA 🚀 #DSA #Java #ProblemOfTheDay #CodingJourney #Consistency #LeetCode #Programming

🔥 𝗗𝗮𝘆 𝟴𝟭/𝟭𝟬𝟬 — 𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝟳𝟴. 𝗦𝘂𝗯𝘀𝗲𝘁𝘀 | 𝗠𝗲𝗱𝗶𝘂𝗺 | 𝗝𝗮𝘃𝗮 Given an integer array, return all possible subsets (the power set) — no duplicates allowed. 𝗠𝘆 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 — 𝗕𝗮𝗰𝗸𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴: ✅ At each index, make a choice: include or exclude ✅ Recurse with the element added → then backtrack (remove it) ✅ Recurse again without the element ✅ Base case: when index == nums.length, save the current subset This explores every branch of the decision tree, giving us all 2ⁿ subsets cleanly. 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: ⏱ Time: O(n × 2ⁿ) — 2ⁿ subsets, each copied in O(n) 📦 Space: O(n) recursion depth Backtracking is one of those patterns that feels magical once it clicks — the "add → recurse → remove" rhythm is the heart of so many classic problems. 📂 𝗙𝘂𝗹𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/gZmezt_g 19 more days to go. Almost there! 💪 #LeetCode #Day81of100 #100DaysOfCode #Java #DSA #Backtracking #Recursion #CodingChallenge #Programming