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Dev

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Restarting My Java Journey: From Exam-Oriented Learning to Becoming a Real Developer

  • The author reflects on their Java programming journey, starting with exam-focused learning and transitioning to becoming a professional developer.
  • Initially, the focus was on passing exams, memorizing syntax, and completing assignments without a deep understanding.
  • A shift in mindset led to a decision to restart learning Java with a focus on problem-solving and practical application.
  • The author's new approach includes revisiting core Java concepts, practicing advanced Java with real projects, and delving into Hibernate and Spring frameworks.
  • Beyond Java, the author aims to grow as a developer by learning software development principles and preparing for interviews.
  • The author shares their journey through a blog to stay accountable and inspire other beginners.
  • A 21-Day Preparation Challenge has been initiated covering Java concepts, problem-solving, communication skills, and interview readiness.
  • The author emphasizes the importance of intent to improve, consistency, and honesty in the learning process.
  • The narrative encourages connections and sharing of experiences among individuals following a similar path.
  • The journey spans from exam-oriented learning to skill-based learning, highlighting the significance of continuous improvement.
  • The author invites engagement and mutual growth within the learning community.
  • The journey signifies the importance of transitioning from exam-focused learning to skill-based development for personal and professional growth.

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Self-Learning-Java

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LangChain4j: Powerful AI & LLM Features for Java Developers

  • LangChain4j brings modern AI capabilities to Java applications with a wide range of features.
  • Integrations include 15+ LLM providers such as OpenAI, Google Vertex AI, Hugging Face, and more.
  • It supports 20+ vector stores like Pinecone, Redis, Chroma, and various embedding models.
  • LangChain4j also offers 5+ image generation models and scoring and reranking models for retrieval results.
  • Document processing and RAG capabilities involve importing from multiple sources, smart text splitting, embedding generation, and re-ranking.
  • AI services and tools provided by LangChain4j include a high-level LLM API, prompt templating, function calling, and text classification.
  • The platform offers features for chat and memory management, utilities like output parsing, token counting, and Kotlin coroutine support.
  • Multimodal support allows text and image inputs for vision-capable models.
  • LangChain4j simplifies the development of AI-powered Java applications, including chatbots and RAG systems, within the JVM ecosystem.

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Self-Learning-Java

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LangChain4j: Supercharge Your Java Application with the Power of LLMs

  • LangChain4j is a Java library that helps developers easily connect their applications with language services like OpenAI or Google.
  • It was created in early 2023 to provide Java developers with tools that were previously limited in the language space.
  • LangChain4j offers a simple way to connect to various language services and storage providers, reducing the need to learn multiple systems.
  • It currently supports over 19 language service providers and more than 20 text storage services.
  • The library includes ready-to-use tools for creating prompts, managing chat history, building question-answer systems, and more.
  • It also provides easy-to-follow examples and works seamlessly with popular Java frameworks like Spring Boot and Quarkus.

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Medium

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How to Set Up a Java Project with Gradle for Beginners

  • A Gradle project starts with the root folder where configuration files reside.
  • Creating the project folder and populating it with essential files like settings.gradle and build.gradle is essential.
  • Initiating a new Gradle project involves using 'gradle init' command in the terminal.
  • The generated layout includes build.gradle, settings.gradle, gradlew scripts, and gradle wrapper files.
  • Directories like src/main/java/ and src/test/java/ house main Java files and test classes respectively.
  • build.gradle file defines project behavior, including plugins, dependencies, and tasks.
  • Gradle automates tasks such as compiling Java files, running tests, and creating a JAR file using tasks defined in build.gradle.
  • Running Gradle commands like './gradlew build' compiles code, runs tests, and creates a JAR file in the build/libs directory.
  • Dependencies specified in build.gradle are automatically downloaded by Gradle and included in the compilation process.
  • Gradle simplifies project setup, management, and build processes by following defined structures and configurations.

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Dev

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Why .NET Maintains Strategic Relevance Amidst Java’s Open-Source Dominance

  • Microsoft's .NET ecosystem maintains strategic relevance amidst Java's open-source dominance.
  • Institutional investment led to the evolution of .NET Core, enabling cross-platform application development.
  • .NET's tooling, anchored by Visual Studio, enhances developer productivity compared to Java's fragmented ecosystem.
  • ASP.NET Core excels in runtime performance and scalability for latency-sensitive applications.
  • .NET's multidomain ecosystem integration covers web development, desktop apps, mobile development, serverless functions, and game development.
  • C# offers modern features like pattern matching, record types, nullable reference types, and LINQ for expressive programming.
  • .NET's open-source transformation under the .NET Foundation fosters community engagement and innovation.
  • .NET's entrenched industry adoption in sectors like financial services, government, healthcare, and retail showcases its operational trust.
  • .NET's architectural innovation, ecosystem expansion, and developer-focused enhancements position it as a future-ready alternative to Java.
  • The choice between Java and .NET depends on alignment with project imperatives like maturity, performance, and innovation.
  • .NET's journey from a Windows-centric platform to a cross-platform, open-source framework underscores its strategic evolution.

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Medium

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Turning a Java List into a Comma-Separated String

  • Using StringBuilder to turn a list into a comma-separated string is efficient and memory-friendly compared to string concatenation with + in Java.
  • StringBuilder holds data in a character array, avoiding constant object churn and ensuring fast processing even with longer inputs.
  • String.join method in Java simplifies joining strings with a delimiter and handles adding the delimiters between items automatically, suitable for cleaner code.
  • String.join automatically handles empty lists and different delimiters for various contexts, making it versatile.
  • Both StringBuilder and String.join provide ways to create comma-separated strings, with StringBuilder offering manual control and String.join automating the process.
  • String.join does not tolerate null values in the input list or array, requiring data cleaning before usage to avoid exceptions.
  • In summary, choosing between StringBuilder and String.join depends on the level of control needed and the cleanliness of the input data.

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The Register

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Deal to 'save' UK colleges £45M in Oracle Java licensing fees followed audit requests

  • Oracle requested Java audits with UK higher education institutions before negotiating a national agreement aiming to save the institutions £45 million compared to standard pricing.
  • The agreement involves a national framework agreement for Oracle Java SE, tailored to UK education and research.
  • Gartner analysis found Oracle's per-employee subscription model for Java to be two to five times more expensive than the legacy model.
  • Jisc negotiated the deal to address cost and compliance challenges faced by higher education institutions using Oracle Java in internal systems.
  • The agreement offers a flat annual rate per full-time equivalent employee over five years, capping potential liabilities for Oracle Java users.
  • Oracle advised organizations to find open-source alternatives following the introduction of the new Java licensing model.
  • Most Oracle users surveyed were unlikely to stick with Oracle Java due to the licensing changes.
  • The agreement was developed over 18 months with input from representative bodies and was deemed the most effective approach to secure a collective agreement with Oracle.
  • Jisc emphasized the importance of the agreement in reducing costs, driving efficiency, and fostering a strategic relationship with Oracle amid financial pressures.
  • Oracle has supported third-party training for Oracle Java but highlighted the need for commercial licensing for institutions running Java in their enterprise systems.
  • Financial challenges faced by universities are evident, with many institutions expected to run budget deficits and make cuts.

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Javacodegeeks

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Java Printing Stack Values Example

  • Printing the contents of a stack in Java involves understanding the Last-In-First-Out (LIFO) behavior of the Stack class in the java.util package, which provides operations like push, pop, peek, empty, and search.
  • Java's Stack class is versatile for various use cases but is considered a legacy class; it's recommended to use Deque implementations like ArrayDeque for better performance.
  • Common stack use cases include parsing expressions, undo functionality, backtracking algorithms, and Depth-First Search (DFS) in graph traversal.
  • Different techniques for printing stack values in Java are demonstrated, including toString(), enhanced for-loop, forEach() with lambda, Iterator, ListIterator (for LIFO order), and using a Deque.
  • These approaches offer various ways to traverse and print stack elements, showcasing both traditional iteration and more functional styles.
  • Comparison is made based on maintaining LIFO order, code simplicity, mutability, and additional notes for each printing approach.
  • Understanding these methods helps in writing cleaner code when working with stack data structures in Java, preserving the LIFO order based on specific requirements.

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TechBullion

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Ashish Mehta: Visionary Technologist and Trailblazer in Java Enterprise Solution

  • Ashish Mehta is a highly respected figure in enterprise software development with a strong focus on Java technologies.
  • His career spans nearly two decades, during which he has been a driving force in technical innovation across various industries.
  • He holds a Bachelor's degree from Rajasthan University and a Master's in Computer Science from Frostburg State University, USA.
  • Ashish has obtained numerous professional certifications, including Sun and IBM credentials, showcasing his dedication to continual learning.
  • He has held key positions at Metacube Software Solutions, Tata Consultancy Services (TCS), and Kyra Solutions, Inc.
  • Ashish's expertise lies in developing and enhancing applications in areas like geospatial technology and environmental solutions.
  • His leadership approach involves hands-on technical contributions and strategic guidance to his teams.
  • Notable achievements include leading the development of a high-accuracy license plate recognition system and designing critical systems for the Florida Turnpike Enterprise.
  • Ashish's work emphasizes scalable and mission-critical solutions, blending technical proficiency with domain knowledge.
  • He is adept at integrating diverse technologies and guiding cross-functional teams through agile methodologies.
  • His future vision revolves around intelligent systems integration, sustainable technology, and exploring geospatial data analytics.
  • Ashish's work embodies the fusion of engineering excellence and forward-thinking leadership, shaping the future of digital governance and infrastructure intelligence.

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Medium

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New Java 21 Feature : A Guide to Virtual Threads in Java!

  • Java has introduced Virtual Threads, a new feature for running multiple tasks concurrently in a simpler and more efficient way.
  • Threads in Java are like helper workers that perform different tasks.
  • Virtual Threads, part of Project Loom, are lightweight threads created by JVM, enabling the creation of thousands of threads without memory concerns.
  • Virtual threads do not block OS threads, use less memory and CPU, and are suitable for I/O-heavy tasks.
  • To create a virtual thread, you can use Thread.startVirtualThread(() -> { // Your logic });.
  • Virtual threads offer advantages like clean and readable code, simplifying complex thread management, and handling numerous tasks effectively.
  • They are ideal for applications handling many users or requests, especially I/O-heavy tasks.
  • However, for CPU-intensive tasks, virtual threads may not provide significant benefits.
  • Virtual threads eliminate the need for learning complex async or reactive programming and allow efficient handling of tasks.
  • Overall, virtual threads are a significant improvement in Java, enabling the creation of clean and efficient code for concurrent processing.

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Dev

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Reference Types vs Primitive Types - Java

  • Java has both Reference and Primitive types, which handle data storage differently.
  • Primitive types store both variable and value on the stack, resulting in a direct copy of values when assigned to another variable.
  • Reference types, however, hold references to objects stored on the heap.
  • When a reference variable is assigned to another, it copies the reference, not the actual object, leading both variables to point to the same object.
  • Changing the object through one variable reflects the change in the other due to the shared reference.
  • To create a new object distinct from the original, a new instance must be instantiated, assigning it to the variable.
  • This distinction helps understand why changes to one reference variable affect another pointing to the same object.

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Medium

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Comparing Java Strings for Matches and Differences

  • Java treats strings as objects and offers various methods for comparison like equals(), equalsIgnoreCase(), and compareTo().
  • The equals() method compares strings based on character sequence and case sensitivity, returning true if the contents match.
  • equalsIgnoreCase() is used for case-insensitive comparisons by adjusting the case of characters before matching.
  • compareTo() determines the order of strings relative to each other, crucial for sorting operations.
  • == should not be used for comparing string content as it checks memory identity, not character data.
  • It is essential to handle null references properly when calling comparison methods to avoid exceptions. Compare carefully and consider missing values.
  • compareTo() considers every character, including encoding, and may produce unexpected results due to Unicode values.
  • String literals in Java are stored in a shared memory pool, impacting comparison results.
  • Manual string interning with intern() can help manage memory but does not alter content for comparison purposes.
  • Choosing the right comparison method depends on the specific use case and level of detail required in the comparison.

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Medium

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Why Java Continues to Be a Top Programming Language in 2025

  • Java remains a cornerstone of software development in 2025, evolving to stay relevant.
  • New Java versions introduce features enhancing productivity and application performance.
  • Recent versions like Java 21 and 23 added virtual threads, simplified main classes, and more.
  • Java is ideal for scalable applications across industries, especially in finance and healthcare.
  • Learning Java first facilitates transitioning to other modern JVM languages like Kotlin.
  • Java skills are in demand for professionals at all experience levels.
  • Java's community support aids learning and career growth for developers.
  • Java's age-resistant value and long-term relevance make it a strong career foundation.
  • Consistent practice and building real-world projects are crucial for Java developers.
  • A program offers a job-focused path with mentorship and real projects for aspiring Java developers.
  • Strong fundamentals like Java create lasting careers amidst changing tech trends.

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Analyticsindiamag

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Presenting the Winners of the InnovateHER Java Full Stack Developer Hiring Challenge 🏆

  • The InnovateHER Java Full Stack Developer Hiring Challenge, held in partnership with Chubb, showcased talent, innovation, and technical depth from women developers across the country.
  • The event featured two rigorous rounds assessing core Java concepts and a hackathon to build a retry and replay framework, with the top three winners being recognized.
  • 1st Place: Pratheepa impressed judges with her Retry and Replay Framework built with Spring Boot, offering configurable retry strategies and various features.
  • 2nd Place: Ramya Gayam's feature-rich Spring Boot application included fixed and exponential retry strategies, Gmail notifications, and Quartz scheduler integration.
  • 3rd Place: Rutuja Dattatray Kale developed a job scheduling system emphasizing efficient task execution, logging, error detection, and recovery mechanisms.
  • The challenge empowered women in tech, provided visibility for their skills, and enabled engagement with Chubb, a global leader in insurance and innovation.
  • A big thank you was extended to all participants for their inspiring passion and talent in the InnovateHER Java Full Stack Developer Hiring Challenge.

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Medium

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Embabel: Unleashing the Power of Advanced AI Agents in Java Applications

  • Embabel, founded by Rod Johnson, aims to simplify AI agent development in Java applications, offering a comprehensive platform for creating goal-oriented agents.
  • The platform streamlines AI integration in Java, aligning with established engineering practices and making it accessible for developers.
  • Embabel recognizes the need for structured agent behavior, autonomous actions, and goal achievement within applications.
  • AI agents play a crucial role in modern software architecture, providing dynamic capabilities beyond simple query-response interactions.
  • Embabel introduces foundational concepts like Actions, Goals, and Conditions for structured agent development.
  • Embabel utilizes Goal-Oriented Action Planning (GOAP) for sophisticated planning, allowing agents to dynamically formulate plans to achieve goals.
  • The platform's key features aim to enhance AI development efficiency, reliability, and integration within the Java ecosystem.
  • Embabel's higher-level abstraction focuses on building intelligent agents capable of performing multi-step tasks and dynamic decision-making.
  • It challenges the dominance of Python in AI development, enabling Java teams to leverage AI capabilities using existing skills and infrastructure.
  • Embabel empowers Java developers to participate in the AI revolution, allowing them to build advanced AI agents and drive innovation in enterprise applications.

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