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Multithreading in Java: Concepts and Code

Multithreading in Java is essential for achieving better performance and speed in application development, allowing tasks to run simultaneously.
Multithreading involves running multiple threads within a single program, enabling parallel execution of tasks.
Using multithreading in Java leads to faster operations, improved user experience, and efficient CPU utilization.
Two common ways to implement multithreading in Java are by extending the Thread class and implementing the Runnable interface.
Key concepts of multithreading include understanding the thread life cycle, thread methods, and synchronization to avoid data conflicts.
An example of synchronizing threads to control access to shared resources is highlighted.
Multithreading is beneficial for scenarios like downloading files while displaying loading bars simultaneously, enhancing user experience.
Tips for using multithreading effectively in Java include avoiding excessive thread creation, careful synchronization, and utilizing thread pools for managing multiple threads.
In conclusion, mastering multithreading in Java leads to improved application performance, responsiveness, and resource utilization.
The article recommends exploring Java tutorials on TPoint Tech Website for comprehensive learning and practical approaches.

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Goodbye Wait Wait Wait My Junior Year Adventure A Secret Weapon That Makes Code Fly

As a junior majoring in Computer Science and Technology, the author shares their journey encountering a revolutionary web backend framework, Hyperlane, that transformed their coding experience by providing extreme performance and elegant design.
The author reflects on past struggles with lag and inefficiency in programming projects, highlighting scenarios like dealing with high concurrency and stress testing that exposed performance bottlenecks in traditional frameworks.
Encountering Hyperlane, a lightweight framework built on Rust and Tokio, the author delves into the onboarding experience, emphasizing the simplicity of installation, clear API design, and efficient logging.
Through practical case studies, the author demonstrates substantial performance improvements using Hyperlane, showcasing higher QPS, reduced response times, and lower resource consumption compared to previous frameworks.
The deep dive into Hyperlane's technical features explores its reliance on Tokio's asynchronous runtime, robust error handling mechanism, and balance between configuration flexibility and simplicity.
Comparisons with other Rust web frameworks like Actix Web and Axum highlight Hyperlane's distinct lightweight design philosophy and focus on core HTTP server capabilities, making it suitable for high-performance API services.
The author provides suggestions for Hyperlane's future enhancement, including continuous improvement of documentation, expansion of the ecosystem, community building, and staying true to its core strengths while innovating further.
Concluding with a call to developers to embrace tools like Hyperlane for efficient web development in the era of cloud computing and microservices, the author shares hopes and expectations for Hyperlane's growth and success in the evolving technological landscape.

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Forecasting Airport Traffic with SARIMA: A SeaTac Case Study

A study used SARIMA to forecast SeaTac Airport passenger traffic, suggesting a recovery by 2023.
The dataset comprised monthly passengers from 2003 to 2024, with modeling focused on pre-pandemic data (2003-2019).
SARIMA, chosen for its seasonal pattern handling, consists of non-seasonal and seasonal components.
To achieve stationarity, differencing was applied to the data through SARIMA's d and D parameters.
Augmented Dickey-Fuller test confirmed non-stationarity, leading to first-order and seasonal differencing.
Auto_arima function determined the SARIMA model parameters for the data.
The trained SARIMA model forecasted passenger counts for 2020–2024.
Actual passenger counts by 2023 aligned with the model's forecast, indicating a recovery in demand.
Passenger counts mostly fell within the 95% confidence interval, consistent with pre-COVID trends.
SARIMA was effective in forecasting stable, seasonal patterns but less suited for sudden disruptions like COVID.
The study showcases SARIMA's ability to capture long-term air travel trends.
Forecasting methodologies like SARIMA allow for interpreting future air travel demand with historical data.
Differencing in SARIMA does not erase trends but highlights changes for interpretation.
The SARIMA model reflected SeaTac's recovery post-pandemic, aligning with historical trends.
Beyond COVID disruptions, SARIMA remains valuable for modeling consistent patterns and future directions.
By 2023, SeaTac's passenger traffic had realigned with pre-pandemic growth patterns, indicating a full recovery.

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Mastering Java BigDecimal: Precision Math Made Simple.

BigDecimal in Java is a class for arbitrary-precision decimal numbers providing exact control over precision and rounding.
It stores numbers as an unscaled value and a scale, ensuring accuracy for small and large numbers.
BigDecimal is crucial for financial systems and scientific calculations where precision is paramount.
Contrary to float or double, BigDecimal avoids floating-point errors common in quick calculations.
BigDecimal supports calculations like addition, subtraction, and division, offering more precise results.
Creating BigDecimal objects is typically done using constructors with strings to avoid floating-point errors.
BigDecimal methods like add(), subtract(), multiply(), and divide() are used for mathematical operations.
When using division with BigDecimal, specifying scale and rounding mode is crucial to avoid infinite decimals.
Using compareTo() for comparisons and constants like BigDecimal.ZERO helps in simplifying code.
Testing edge cases with BigDecimal is advised for scenarios involving zero, negative numbers, or extreme values.
Practical examples, such as calculating sales tax, demonstrate the clean and precise nature of BigDecimal calculations.
BigDecimal ensures accuracy in financial applications and critical systems by avoiding floating-point pitfalls.
String constructors, explicit scaling, and thorough testing are recommended for effective use of BigDecimal.

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Medium

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Track Your Dev: A GitHub-Powered Dashboard for Non-Tech Teams

TrackYourDev is a new GitHub-powered dashboard designed for non-tech teams.
The platform provides visual overviews of developer activity without requiring GitHub expertise or coding knowledge.
It is aimed at bosses, project managers, and startup founders who need insights into GitHub without diving into technical details.
TrackYourDev differentiates itself by focusing on team members who are not developers.
Current features include connecting GitHub repos to generate clear activity summaries.
The platform addresses the gap where non-tech team members need visibility into GitHub without relying on engineers.
Future plans for TrackYourDev consist of expanding its features and functionality.
The platform is welcoming ideas from users and encourages suggestions for improvement.
People managing developer teams without GitHub proficiency can benefit from using TrackYourDev.
The platform invites those interested to follow their progress as they continue to develop and enhance the tool.

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👂 How Event Listeners Work in JavaScript

JavaScript utilizes event listeners to detect and respond to user interactions on webpages.
Events can include actions such as clicking a button, typing in a text field, hovering over an element, or scrolling.
An event listener in JavaScript essentially waits for a specific event to occur and then executes a designated piece of code.
Using addEventListener() is preferred over inline event handling methods like onclick in HTML due to its flexibility and cleanliness.
Event listeners allow for attaching multiple listeners to the same element and separating HTML from JavaScript.
Event listeners can be removed using the removeEventListener() method, enabling better control over event handling.
Common event types include 'click', 'keydown', 'submit', 'mouseover', 'input', and 'scroll'.
Each event type can trigger specific website behaviors, such as validation, pop-ups, or animations.
When an event occurs, JavaScript passes an event object to the associated function, providing details about the event.
Experimenting with event listeners is recommended for those learning JavaScript to understand user interactions better.
Event listeners enhance website interactivity and engagement by enabling responses to user actions.
JavaScript's event listeners facilitate a dynamic dialogue between the code and the user on a webpage.

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how to claim your Solaxy ($SOLX) reward tokens after the presale:

To claim your Solaxy ($SOLX) reward tokens after the presale, visit the official claim portal at solaxyclaims.io.
Connect the same wallet used during the presale, preferably via Best Wallet for ease.
Click “Claim SOLX”, sign the transaction, and pay gas to receive your tokens in your wallet.
Solaxy has allocated 25% of the total supply for early supporters.
After the TGE, visit the reward portal (likely integrated at solaxyclaims.io) to claim early-user rewards.
Connect the same wallet, and the site will automatically check your eligibility.
Click “Claim Rewards”, approve the transaction, and receive your additional allocated SOLX.
Use the presale wallet as only the wallet used to buy or stake SOLX can claim rewards.
Ensure you have ETH (or SOL if claiming via Solana) to cover transaction gas fees.
After claiming, use the Solaxy bridge to transfer tokens onto Solana Layer‑2 for dApp use, staking, or trading.
Verify the claim portal address via Solaxy's official X/Twitter or Telegram channels to avoid fake sites.
Solaxy's smart contract was audited by Coinsult, indicating no signs of malicious intent, but caution is advised.

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🧠 I Built CoderHub – A Unified Dashboard to Track LeetCode, Codeforces, CodeChef & GFG Progress

The creator developed CoderHub, a dashboard to monitor progress on competitive programming platforms like LeetCode, Codeforces, CodeChef, and GeeksforGeeks.
Motivation behind building CoderHub was the desire to have a centralized place for tracking problem-solving statistics, rating trends, and the ability to share progress with others.
CoderHub aggregates data including total problems solved, ratings, ranks, and historical rating graphs from various platforms.
The dashboard features a clean and minimal UI, simple authentication through Clerk, and is mobile-responsive.
Tech stack used includes Next.js for the app router, Tailwind CSS for UI, Clerk for authentication, and data fetched from platform APIs.
CoderHub is hosted on Vercel for deployment.
To try out CoderHub, users can visit https://coderhub.karneel.dev, sign in, add their usernames, and view their stats within seconds.

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The 'Sea-Calming Needle' in the Microservices Wave My Architectural Choices and Practical Experience

The article explores the evolution of software architecture, focusing on the rise of microservices in solving modern software development challenges.
Microservices offer benefits like technological heterogeneity, independent deployment, and fault isolation, yet they introduce complexities such as distributed systems management and increased operational costs.
The article emphasizes the importance of choosing a suitable framework to navigate the microservices wave, highlighting the qualities of a 'sea-calming needle' framework based on Rust.
The 'sea-calming needle' framework stands out for its extreme lightweightness, high performance, powerful asynchronous processing capabilities, and easy-to-use inter-service communication mechanisms.
It also excels in native observability support, error handling, and fault tolerance mechanisms crucial for maintaining a robust microservices system.
A practical case study of building a microservice backend for a campus application showcases the framework's efficiency, performance, resource consumption, and error troubleshooting capabilities.
Comparatively, the Rust framework proves more suitable for microservices than traditional Java Spring Cloud or Go frameworks due to its performance, efficiency, and modern design approach.
In conclusion, the article hails the 'mysterious' Rust framework as an ideal choice for modern microservice applications, likening it to a sharp tool for taming the microservices wave.

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The New Generation of High-Performance Rust Web Frameworks

Hyperlane is a new generation lightweight and high-performance Rust web framework competing with established frameworks like Actix-Web and Axum.
Hyperlane is compared with other frameworks in terms of architecture, performance, feature integration, and development experience.
Hyperlane has advantages such as zero platform dependency, extreme performance optimization, flexible middleware mechanism, and native support for real-time communication like WebSocket and SSE.
The article dissects Hyperlane through examples, showcasing its simple middleware configuration, support for multiple HTTP method route macros, WebSocket implementation, and SSE data push.
Hyperlane's powerful routing capabilities include support for dynamic and regular expression matching, simplifying complex routing needs.
The framework is designed for high throughput and performance experience, offering default optimization options and developer-friendly features like asynchronous chain calls for configuration.
Hyperlane is compared with Actix-Web and Axum on features such as SSE/WebSocket support, asynchronous chain API, routing capabilities, middleware support, platform compatibility, and dependency complexity.
Hyperlane is recommended for building high-performance, lightweight, and future-oriented web applications, catering to various needs like high-frequency trading APIs, real-time communication services, and embedded HTTP servers.
Getting started with Hyperlane involves adding it to Cargo and referencing quick start resources and documentation.

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Forging an Unbreakable Digital Shield My In-Depth Analysis of a Certain Framework's Security Features

In the age of frequent data breaches and evolving cyber-attacks, security is crucial; a Rust-based framework impresses with its security design.
Rust's memory and concurrency safety enhance application security, eliminating common vulnerabilities.
The framework prioritizes input validation, session management, authentication, CSRF protection, and secure dependencies.
It emphasizes HTTPS enforcement, error handling, and follows best practices in information security.
Developers must adhere to the principle of least privilege, conduct audits, maintain secure coding standards, and monitor for intrusions.
Compared to dynamic language frameworks, this Rust framework benefits from its security-focused language features.
It stands out for its lightweight nature, resource efficiency, performance, and comprehensive security considerations.
The framework offers a strong platform for building secure web applications, emphasizing that security is a continuous journey.
The article, approximately 7800 words, showcases the importance of security in software development and the potential of Rust frameworks.
The in-depth exploration of security features provides insights for developers aiming for secure and reliable applications.

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iOS 26 - UIKit Gets SwiftUI Superpowers: Observable and updateProperties

With iOS 26, UIKit gains SwiftUI features like automatic observation tracking and updateProperties().
Automatic Observation Tracking: Swift's @Observable now works in UIKit, auto-tracking changes.
Basic Observable Integration simplifies setting up observed properties in UIKit.
Collection Views: Cells can now automatically update with @Observable properties changes.
Introducing updateProperties(): A new method in UIKit for fine-grained property updates.
updateProperties() brings benefits like improved performance and separation of property updates.
flushUpdates option enables seamless animations with automatic observable updates.
Backwards Compatibility: Automatic observation tracking works on iOS 18+.
Performance Tips: Cache computations, avoid retain cycles, and keep updates on the main thread.
The Big Picture: A major shift in UIKit-SwiftUI interoperation for a unified development experience.

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Medium

Why Senior Developers Are Choosing Rust Over Go in 2025: The Great Systems Programming Shift

In 2025, senior developers are increasingly choosing Rust over Go for systems programming.
Stack Overflow's 2024 Developer Survey shows Rust as the most loved language, with high developer interest.
Job postings for Rust have increased significantly compared to Go.
Rust's memory efficiency and CPU utilization benefits are key factors driving the shift.
Senior developers appreciate Rust's predictability in performance compared to Go's garbage collection.
Cargo, Rust's package manager, and the mature ecosystem are attracting senior developers.
Rust's memory safety guarantees are crucial in the cybersecurity landscape.
Rust's concurrency model, performance, composability, and ownership system outshine Go in certain aspects.
Major companies like Microsoft, Google, Meta, and Amazon are making strategic bets on Rust.
Senior developers find Rust's learning curve manageable with better educational resources and community support.

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Building a Better Predictor: Understanding Model Evaluation and Improvement

Model evaluation and improvement in machine learning is akin to tweaking a recipe to get the desired cake.
Metrics like accuracy, precision, recall, and F1-Score are used to evaluate model performance.
Accuracy measures the percentage of correct predictions, precision assesses positive prediction accuracy, recall identifies all positive instances, and F1-Score balances precision and recall.
Improving a model involves techniques like hyperparameter tuning, feature engineering, algorithm selection, and cross-validation.
Model evaluation and improvement have widespread applications in healthcare, finance, marketing, and various industries.
Challenges include data bias, interpreting complex models, and ensuring data privacy and security.
Continuous monitoring and improvement are crucial for refining models as data evolves and new algorithms emerge.
The field is advancing with research on explainable AI, fairness-aware algorithms, and robust evaluation techniques.
Addressing challenges and ethical considerations can lead to more accurate, reliable, and beneficial machine learning models.
The journey towards building better predictors in machine learning is ongoing and impacts various aspects of society.

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Unveiling the Next-Generation Web Engine My In-Depth Experience with a Rust Framework and the Path to Performance Supremacy

The article details a student's exploration of a Rust-based web backend framework, highlighting its high performance and unique design philosophy.
The author's experience with Rust's memory safety and performance advantages sets the foundation for the framework's excellence.
The framework utilizes Tokio for efficient concurrency handling, optimizing resource usage and enabling higher throughput.
A focus on macros simplifies development, reducing code volume and enhancing maintainability through AST manipulation.
Flexible middleware mechanisms offer logical decoupling and extendibility for cross-cutting concerns like authentication and logging.
Performance-wise, the Rust framework demonstrates superiority over mainstream dynamic language frameworks, particularly in high-concurrency scenarios.
The article discusses the ecosystem growth and future potential of Rust, emphasizing community involvement and documentation quality.
Practical insights reveal the framework's stability, elegance, and consideration for code quality alongside impressive performance.
In conclusion, the article encourages embracing technological change and continuous learning, positioning the Rust framework as a key player in next-generation web development.

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