Thiago Souza’s Post

💡 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐉𝐚𝐯𝐚: 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬 & 𝐆𝐞𝐧𝐞𝐫𝐢𝐜𝐬 As I dig deeper into Java, I’m finding that certain features really help make code more efficient and easier to maintain. Here’s a quick breakdown to help you understand *Collections* and *Generics* and how they can boost your coding skills: 🔗 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: The Collections Framework is like a toolbox for organizing and managing data. It includes structures like Lists, Sets, and Maps. Here’s why they’re useful: - 𝗔𝗿𝗿𝗮𝘆𝗟𝗶𝘀𝘁 𝘃𝘀. 𝗟𝗶𝗻𝗸𝗲𝗱𝗟𝗶𝘀𝘁: 𝗔𝗿𝗿𝗮𝘆𝗟𝗶𝘀𝘁 is great when you need quick access to data, while 𝗟𝗶𝗻𝗸𝗲𝗱𝗟𝗶𝘀𝘁 is perfect when you need to add or remove elements frequently. -𝗦𝗲𝘁𝘀:Use them to avoid duplicates in your data (e.g., in situations where you only need unique values). - 𝗠𝗮𝗽𝘀: Maps are perfect for storing key-value pairs (think of a dictionary that lets you find the definition by looking up the word). - 𝗧𝗵𝗿𝗲𝗮𝗱-𝘀𝗮𝗳𝗲 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀: If multiple users access your data at the same time (like in a web app), using thread-safe versions of collections helps prevent issues and data corruption. 🔧 𝐆𝐞𝐧𝐞𝐫𝐢𝐜𝐬: Generics make your code flexible and safe by allowing you to create methods and classes that work with any data type—without rewriting code! Here’s why that’s important: - 𝗧𝘆𝗽𝗲 𝗦𝗮𝗳𝗲𝘁𝘆: Generics catch errors at compile-time instead of runtime, which means fewer bugs and crashes. - 𝗖𝗼𝗱𝗲 𝗥𝗲𝘂𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Write a method once, and it works with multiple data types, making your code DRY (Don’t Repeat Yourself)! These features are key for writing scalable and maintainable applications. Exploring these advanced features helps you level up as a Java developer. Have you tried using these in your projects? #Java #Collections #Generics #Programming #CodingTips #LearnJava 

𝐃𝐀𝐘 18 : 𝐀𝐧 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠 𝐅𝐚𝐜𝐭 𝐀𝐛𝐨𝐮𝐭 𝐉𝐚𝐯𝐚 🔥🧐 🌟 𝐃𝐢𝐯𝐞 𝐈𝐧𝐭𝐨 𝐋𝐚𝐦𝐛𝐝𝐚 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬 𝐢𝐧 𝐉𝐚𝐯𝐚! 🌟 Lambda expressions, introduced in Java 8, They enable developers to write functional-style programming by treating functions as arguments, making code concise, readable, and more expressive. 📌 𝐖𝐡𝐚𝐭 𝐀𝐫𝐞 𝐋𝐚𝐦𝐛𝐝𝐚 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬? A lambda expression is essentially an anonymous function — a block of code that can be passed around and executed later. It provides a way to implement functional interfaces (interfaces with a single abstract method) with clean and concise syntax. Syntax: (𝑝𝑎𝑟𝑎𝑚𝑒𝑡𝑒𝑟𝑠) -> 𝑒𝑥𝑝𝑟𝑒𝑠𝑠𝑖𝑜𝑛 𝑜𝑟 (𝑝𝑎𝑟𝑎𝑚𝑒𝑡𝑒𝑟𝑠) -> { 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡𝑠; } Parameters: Input values, similar to method arguments. Arrow Operator (->): Separates the parameter(s) from the body. Body: The code that gets executed, which can be a single expression or a block of statements. 💡 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐋𝐚𝐦𝐛𝐝𝐚 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬 ✅ 𝐍𝐨 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬: () -> 𝑆𝑦𝑠𝑡𝑒𝑚.𝑜𝑢𝑡.𝑝𝑟𝑖𝑛𝑡𝑙𝑛("𝐻𝑒𝑙𝑙𝑜, 𝐿𝑎𝑚𝑏𝑑𝑎!") ✅ 𝐎𝐧𝐞 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫: 𝑛𝑎𝑚𝑒 -> 𝑆𝑦𝑠𝑡𝑒𝑚.𝑜𝑢𝑡.𝑝𝑟𝑖𝑛𝑡𝑙𝑛(𝑛𝑎𝑚𝑒) ✅ 𝐌𝐮𝐥𝐭𝐢𝐩𝐥𝐞 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬: (𝑎, 𝑏) -> 𝑎 + 𝑏 🌟 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐋𝐚𝐦𝐛𝐝𝐚 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬? Conciseness: Reduces boilerplate code and improves readability. Flexibility: Enables functional-style programming. Reusability: Pass functionality around as data. Performance: Works seamlessly with the Stream API for parallel processing. 🎯 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧 Lambda expressions have transformed how Java developers write code. They simplify tasks like sorting, filtering, and processing collections, all while making the code more readable and maintainable. Embracing lambda expressions allows you to fully leverage Java’s powerful functional programming features. 🔗𝗟𝗲𝘁’𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁! 𝗙𝗼𝘂𝗻𝗱 𝘁𝗵𝗶𝘀 𝗵𝗲𝗹𝗽𝗳𝘂𝗹? 𝗛𝗶𝘁 𝘁𝗵𝗲 ❤️ 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸! 🚀 #Java #LambdaExpressions #FunctionalProgramming #Java8 #Coding

𝗝𝗮𝘃𝗮 𝗥𝗲𝗰𝗼𝗿𝗱𝘀: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁  Have you explored 𝗝𝗮𝘃𝗮 𝗥𝗲𝗰𝗼𝗿𝗱𝘀 yet? Introduced in Java 14 as a preview feature and made stable in Java 16, records are a game-changer for developers who want to simplify their code while maintaining clarity and efficiency. 🚀  In the world of backend development, especially when working with 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 and microservices, we often deal with immutable data objects like DTOs (Data Transfer Objects). Traditionally, creating these classes required writing a lot of boilerplate code: constructors, getters, `toString`, `equals`, and `hashCode` methods. This repetitive work not only clutters our codebase but also makes it harder to maintain.  With 𝗿𝗲𝗰𝗼𝗿𝗱𝘀, Java offers a concise way to define immutable data structures with just a single line of code! By simply declaring a record, you automatically get all the essential methods implemented for you. This means:   - No more manually writing getters or constructors.   - Immutable objects by default.   - Cleaner and more readable code.  For example, if you're building REST APIs in Spring Boot, records can be an excellent fit for modeling request/response payloads. They align perfectly with modern development practices like immutability and functional programming.  But here's the real question: Are records the future of DTOs in Spring Boot applications? Or do you think they have limitations that prevent them from fully replacing traditional classes? 🤔  Let’s discuss! I’d love to hear your thoughts on how you're using records in your projects or if you see challenges in adopting them. Drop your comments below and let’s start a conversation!  #Java #SpringBoot #BackendDevelopment #JavaRecords #Microservices #Programming #SoftwareEngineering #CleanCode

𝐏𝐨𝐬𝐭 98/100: 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐓𝐡𝐫𝐞𝐚𝐝 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐉𝐚𝐯𝐚 – 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐑𝐮𝐧𝐧𝐚𝐛𝐥𝐞 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 🌟 Java Threads Simplified: Flexibility with Runnable Creating threads is essential for Java developers, and the Runnable Interface offers a flexible way to achieve it. Let’s explore why this approach is so widely used! ------------------------------------------------------------------------------------ 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐑𝐮𝐧𝐧𝐚𝐛𝐥𝐞? The Runnable interface allows you to define your thread’s behavior in its run() method without limiting your class’s ability to extend another class. It promotes cleaner, more modular code, especially in complex applications. 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐟 𝐔𝐬𝐢𝐧𝐠 𝐑𝐮𝐧𝐧𝐚𝐛𝐥𝐞: 🔹 Retains flexibility for class inheritance. 🔹 Encourages separation of thread logic from thread management. 🔹 Perfect for scenarios requiring reusable thread logic. 𝐂𝐨𝐦𝐦𝐨𝐧 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: 🔸 Multi-tasking systems where thread behavior is separate from other functionalities. 🔸 Large-scale applications requiring high maintainability and readability. 𝐏𝐫𝐨 𝐓𝐢𝐩: When in doubt, prefer Runnable for its flexibility and scalability in real-world applications. Combine it with ExecutorService for even better thread management! ----------------------------------------------------------------------------------- 💡 How do you approach thread creation in your Java projects? Let’s discuss in the comments! 🚀 #JavaDevelopment #Concurrency #Threads #CodingLife #SoftwareEngineering

𝗨𝗻𝗹𝗲𝗮𝘀𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗟𝗮𝗺𝗯𝗱𝗮𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗖𝗼𝗱𝗲 𝗮𝗻𝗱 𝗕𝗼𝗼𝘀𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 In the ever-evolving world of software development, writing clean, concise, and maintainable code is a goal we all strive for. One of the most transformative features introduced in Java 8 is 𝗟𝗮𝗺𝗯𝗱𝗮 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀. They are not just a syntactic sugar; they represent a paradigm shift in how we think about coding in Java. Lambdas allow us to write functional-style code, making our logic more expressive and reducing boilerplate. Whether it’s simplifying iteration over collections, implementing functional interfaces, or streamlining asynchronous processing, lambdas empower developers to focus on 𝘄𝗵𝗮𝘁 needs to be done rather than 𝗵𝗼𝘄 to do it. But here’s the real question: 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗹𝗮𝗺𝗯𝗱𝗮𝘀 𝘁𝗼 𝘁𝗵𝗲𝗶𝗿 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹? Some key benefits of using lambdas include: - 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗿𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Say goodbye to verbose anonymous classes. - 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆: Write less code, achieve more. - 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗦𝘁𝗿𝗲𝗮𝗺𝘀 𝗔𝗣𝗜: Process data collections like a pro. However, lambdas also come with challenges. Misuse or overuse can lead to less readable code. Striking the right balance between simplicity and clarity is crucial. I’d love to hear your thoughts!  - How have lambdas impacted your Java projects?   - Do you find them intuitive or challenging?   - What’s your favorite use case for lambdas in production?  Let’s spark a conversation and share insights! 🚀 #Java #SpringBoot #LambdaExpressions #FunctionalProgramming #SoftwareDevelopment #CleanCode #BackendEngineering #CodingTips

Hello LinkedIn Community! 👋 Interesting stuff! The latest article on Inside Java dives deep into the world of Data-Oriented Programming (DOP), shedding light on its significance and implications for Java developers. Unveiling the Power of Data-Oriented Programming 🔍 Understanding DOP: Data-Oriented Programming is a paradigm that prioritizes the organization and manipulation of data over traditional control flow structures. This approach offers several advantages, including improved performance, scalability, and maintainability of code. 🚀 Boosting Performance: By focusing on data organization and access patterns, DOP can significantly enhance the performance of Java applications. This results in faster execution times and reduced resource consumption, making it an ideal choice for performance-critical systems. 📈 Scaling with Ease: DOP promotes a modular and scalable architecture, allowing developers to build applications that can grow seamlessly with evolving requirements. The data-centric nature of DOP simplifies the process of adding new features and functionalities without compromising system integrity. 🧩 Simplifying Development: With DOP, developers can write cleaner and more expressive code. By separating data management concerns from business logic, DOP encourages code reuse and facilitates easier debugging and maintenance. Why This Matters As Java developers, embracing innovative programming paradigms like DOP opens up a world of possibilities for building efficient and scalable applications. Understanding and harnessing the power of DOP can elevate our coding practices and enable us to deliver exceptional solutions to real-world problems. Dive Deeper into DOP Ready to explore the transformative potential of Data-Oriented Programming? Check out the full article on the Inside Java blog: DOP v1.1: Separate Operations. Let’s leverage these capabilities to push the boundaries of what we can achieve with Java! 💪 Feel free to share your thoughts and experiences with DOP in the comments below. I'm eager to hear your insights! #Java #Programming #Development #DataOrientedProgramming #Innovation #TechTrends

🚀 Day 17 of 100: Harnessing the Power of Stream API 🚀 Today, let's dive into the world of Stream API in Java! Stream API, introduced in Java 8, revolutionized the way we work with collections and process data. It provides a declarative approach to perform operations on collections, making code more concise, readable, and expressive. Here's why Stream API is a game-changer: 1. 𝙁𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙧𝙤𝙜𝙧𝙖𝙢𝙢𝙞𝙣𝙜: Stream API embraces functional programming principles, allowing developers to write code in a more declarative style. With operations like map, filter, and reduce, developers can express complex data processing logic in a concise and intuitive manner. 2. 𝙇𝙖𝙯𝙮 𝙀𝙫𝙖𝙡𝙪𝙖𝙩𝙞𝙤𝙣: Stream API uses lazy evaluation, meaning operations are only performed when needed. This leads to more efficient memory usage and improved performance, especially when working with large datasets. 3. 𝙋𝙖𝙧𝙖𝙡𝙡𝙚𝙡𝙞𝙨𝙢: Stream API seamlessly integrates with parallel processing, enabling developers to leverage multi-core processors for concurrent execution of stream operations. This can significantly speed up computation-intensive tasks. 4. 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚 𝙊𝙥𝙚𝙧𝙖𝙩𝙞𝙤𝙣𝙨: Stream API supports method chaining, allowing developers to create pipelines of operations to process data sequentially. This enables a fluent and composable programming style, where each operation builds upon the previous one. 5. 𝙄𝙣𝙩𝙚𝙧𝙤𝙥𝙚𝙧𝙖𝙗𝙞𝙡𝙞𝙩𝙮: Stream API is designed to work seamlessly with existing collection classes in Java, making it easy to integrate into existing codebases. It also integrates well with other features introduced in Java 8, such as lambda expressions and method references. Whether you're performing data manipulation, filtering, or aggregation, Stream API offers a powerful and elegant solution for processing collections in Java. Stay tuned for more insights and discoveries as we continue our journey through Java and beyond! 💻☁️ #StreamAPI #Java #FunctionalProgramming #100DaysOfCode Let's unlock the full potential of Stream API and streamline our data processing workflows! 🌟✨

In today's blog post, we dive into custom Spliterators in Java, which are powerful tools for enhancing stream operations. But implementing them requires careful consideration of performance implications. Improper use can lead to increased complexity and potential performance bottlenecks, especially in data-intensive applications. We'll explore how to create a custom Spliterator that implements shifting, sliding, zipping, and folding operations on streams. We'll see why these operations are useful and how they can optimize data processing in various scenarios. #100DaysOfJava Day 81: Did you know that custom Spliterators can supercharge your Java streams? 🚀💻Creating custom stream operations ex: Slide, Shift, Zip and Fold using Spliterator https://lnkd.in/gMB5-U_a #100daysofcode #softwareengineering #java #programming #100daysofjava

One of the key lessons I've learned as a developer is that you can’t rely solely on reading articles or documentation to truly grasp concepts or techniques. To really understand, you have to face real-world problems and work through them to come up with a solution. Here's a story from today: I’ve been working on my Course Management Project and building an API to fetch a user by their ID. In my code, I declared the return type of the method as ResponseEntity<UserDTO>. However, inside the method, I was returning a ResponseEntity<ApiResponseDTO<UserDTO>> instead. Strangely, I wasn’t seeing any compile-time errors in my IDE. After hours of debugging, I discovered the issue wasn’t with my IDE—it was actually a Java concept called type erasure. For those unfamiliar, type erasure in Java means that generic type information (like UserDTO, ApiResponseDTO<UserDTO>, etc.) is erased at runtime. So, at runtime, the ResponseEntity only holds a reference to Object, and the specific types like UserDTO or ApiResponseDTO<UserDTO> are lost. This is why even though my method signature specified ResponseEntity<UserDTO>, passing an ApiResponseDTO<UserDTO> didn’t cause a compile-time error. However, this can lead to logical errors. At runtime, I was expecting a UserDTO as the response body, but was instead returning an ApiResponseDTO<UserDTO>. Lesson learned: understanding concepts like type erasure is crucial when working with Java generics, as it can prevent subtle bugs from creeping into your code. #Java #TypeErasure #Generics #APIDevelopment #BackendDevelopment #CourseManagement #Debugging #SoftwareEngineering #LearningByDoing #ProgrammingTips #FullStackDeveloper #CodeJourney #ProblemSolving

---Day 10 of Core Java--- 💻 Mastering Java: The Pillars of Object-Oriented Programming (OOP) Java is synonymous with Object-Oriented Programming (OOP)—a paradigm that has shaped modern software development. But what makes OOP so powerful? It’s the four fundamental principles that allow us to build scalable, maintainable, and modular software systems. Let’s dive into the core concepts! 🔑 1. Encapsulation Wrapping data (variables) and behavior (methods) together in a single unit (class) to protect the integrity of the data. ✔️ Benefit: Promotes data security and modularity. class Account {    private double balance;    public double getBalance() {        return balance;    }    public void deposit(double amount) {        balance += amount;    } } 🔑 2. Inheritance Enables a class to inherit the properties and behavior of another class. ✔️ Benefit: Code reuse and logical hierarchy. class Animal {    void eat() { System.out.println("This animal eats food."); } } class Dog extends Animal {    void bark() { System.out.println("The dog barks."); } } 🔑 3. Polymorphism Allows one interface to be used for multiple implementations. ✔️ Benefit: Flexibility and scalability. class Shape {    void draw() { System.out.println("Drawing a shape."); } } class Circle extends Shape {    void draw() { System.out.println("Drawing a circle."); } } 🔑 4. Abstraction Hides complex implementation details and shows only the essential features of an object. ✔️ Benefit: Simplifies code and improves maintainability. abstract class Vehicle {    abstract void start(); } class Car extends Vehicle {    void start() { System.out.println("Car is starting."); } } 🚀 Why OOP Matters in Java OOP isn’t just a design principle—it’s a way of thinking that empowers developers to solve real-world problems with elegant code structures. By leveraging these principles, we can create software that is more modular, easier to debug, and ready for change. 💬 Which OOP concept do you use most in your day-to-day coding? Share your thoughts and examples below! #Java #CoreJava #ControlStatements #ProgrammingBasics #CodingJourney #TechSkills #SoftwareDevelopment #LearningJava