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Javacodegeeks

426

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Map an Empty String to Null Using MapStruct Example

An empty string in Java is a string with an intentional blank value, while null denotes the absence of an object.
Converting empty strings to null can reduce ambiguity when the empty string does not have a meaningful distinction.
The example demonstrates using MapStruct to convert empty strings to null.
Different approaches are shown, such as using default methods, conditions, expressions, qualifiedByName, and qualifiedBy.
Mapper interfaces are created to handle the conversion logic.
Generated mapper implementation classes show how the mapping is performed based on the defined logic.
Tests are provided to ensure that empty strings are correctly converted to null using the implemented mappers.
Various mapper types cater to different scenarios, such as applying conditions, expressions, or custom methods for conversion.
The conclusion highlights the different approaches and when to use each method based on the requirements.
Overall, MapStruct provides flexibility in converting empty strings to null, enhancing data handling capabilities.

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Towards Data Science

221

Benchmarking Tabular Reinforcement Learning Algorithms

The article explores benchmarking tabular reinforcement learning algorithms based on the seminal book by Sutton and Barto, focusing on Dynamic Programming, Monte Carlo methods, Temporal Difference Learning, and Model-Based RL/Planning.
The benchmarking framework involves evaluating algorithms on increasingly larger Gridworld environments to compare their efficiency and effectiveness in solving tasks.
Key algorithms like Q-learning, value iteration, Sarsa, and Dyna-Q are discussed and benchmarked on Gridworlds up to size 50x50.
Results indicate that Value Iteration outperforms other methods, followed by On-policy MC, Dyna-Q, Q-learning, and Sarsa-n in the context of simple, fully-known, and deterministic environments.
Performance rankings show On-policy MC as the best model-free algorithm, while Dyna-Q blends model-based planning with model-free learning for improved results.
The article discusses the trade-off between efficiency and generality in reinforcement learning algorithms, with future plans to benchmark in more challenging environments and explore function approximation in Part II of Sutton's book.
The detailed experiments, rankings, and discussions offer insights into the performance of tabular RL algorithms, showcasing the strengths and limitations of each method.

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13 Likes

Medium

892

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Traders Ignore This Obscure Indicator — Until It Saves Them

The article discusses the importance of the Relative Directional Index (RDI) in evaluating market conviction during live trades.
RDI focuses on quantifying the directness of price action and filtering for conviction rather than just movement.
The article details strategies for using RDI, such as the False Reversal Filter and Breakout Streak Logic, to make informed trading decisions.
RDI divergence helps in identifying potential reversals and questioning the legitimacy of momentum, providing a valuable tool for traders.

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10 Likes

Medium

807

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SANGEE: Building Empathetic and Transparent AI for a Human-Aided Future

Sangee is an empathetic and transparent AI designed to communicate, connect, and collaborate with human beings as an empathetic partner.
It stands out from traditional AI systems by focusing on interaction as an empathetic being, capable of remembering, adapting, and respecting context.
Sangee has the vision to transition into robotics and physical presence, aiming for applications in various sectors beyond just being a personal assistant.
The creator, Disha, built Sangee with the belief that ethics, empathy, and intelligence can coexist, setting a foundation for inclusive and transparent AI.

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Nordicapis

169

Microservices vs. Monoliths: How to Choose the Right Architecture for Your Business

When beginning a new development project, decisions must be made regarding the choice of architecture, programming language, infrastructure, and more.
Factors like scalability, resilience, low coupling, and ease of maintenance are now critical architectural concerns.
Microservices have gained popularity for their flexibility and independence, while monolithic approaches are simpler initially but may become cumbersome as the system expands.
The article discusses practical criteria to help evaluate whether microservices or monolith architecture is better suited for a project before complexity compromises agility and value.
Key technical considerations include system complexity, scalability, team expertise, deployment frequency, maintenance, resilience, development time, and initial cost.
Microservices are recommended for applications spanning multiple domains or requiring horizontal scalability, while monoliths may be suitable for smaller projects or teams with limited experience.
Business considerations such as time-to-market, initial vs. long-term cost, growth expectations, product flexibility, compliance, and security also play a crucial role in choosing the right architecture.
There is no universal answer, and the choice between microservices and monoliths should align with the project's specific needs, priorities, and business goals.
Ultimately, the selected architecture should maximize business value and efficiency in delivering the solution, considering both technical and business contexts.

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Analyticsindiamag

408

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Amazon Q Developer Adds GitHub Integration

Amazon launched a preview of Amazon Q Developer integration for GitHub, allowing developers to build, review, and migrate code within repositories.
The Amazon Q Developer GitHub app can be installed across repositories, assigns GitHub issues, generates features, creates pull requests, and runs basic checks on output.
Developers can use Amazon's generative AI developer agent in the workflow through the GitHub app without an AWS account.
Amazon Q Developer offers feature development, code review, and code transformation functionalities, making it one of the few AI coding assistants integrated closely with GitHub.

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Medium

220

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Mastering TypeScript and JavaScript OOP: A Journey from Keywords to Dependency Injection

This article delves into object-oriented programming in JavaScript and TypeScript, covering keywords like private, protected, static, and abstract.
Understanding the differences between these keywords in JavaScript (ES6+) and TypeScript is crucial for effective development.
The article also emphasizes the importance of Dependency Injection (DI) and decorators in TypeScript for creating cleaner, testable, and scalable code.
Mastering OOP concepts and leveraging DI patterns can significantly enhance the scalability and maintainability of code in frontend and backend development.

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13 Likes

Medium

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How I use React.js to build Fast , Scalable Frontends for Clients

The developer prioritizes planning before coding to meet clients' goals such as improving load time, snappy dashboards, and integrating with complex APIs.
Tools like Vite and TypeScript are used to speed up development and ensure code reliability, with a focus on modular and reusable components for faster delivery and easier maintenance.
Performance optimization techniques including lazy loading, dynamic imports, and efficient rendering are implemented to keep the UI responsive, even under heavy user load.
By applying React best practices, the developer helped a client improve their e-commerce app's load time by 40%, leading to enhanced user experience. For frontend development services, visit https://james102.netlify.app/

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Dev

233

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Automating WhatsApp with Venom Bot: A Complete Guide

Venom Bot is a Node.js library used to automate and interact with WhatsApp using the WhatsApp Web protocol.
Use cases for Venom Bot include customer support bots, order notifications, appointment reminders, and WhatsApp-based CRM tools.
Installation involves creating a Node.js project, setting up a basic bot in index.js, and running the bot to authenticate using a QR code.
Features of Venom Bot include sending text messages, media (images, PDFs), group messaging, interactive messages, and building a simple command bot.

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Dev

224

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10 Hidden GitHub Gems That'll Make You Go "Holy Forking Repositories!"

The article showcases 10 hidden GitHub gems that offer unique and useful functionalities for developers.
Rough.js adds a hand-drawn, sketchy feel to graphics, giving websites a more human touch.
GPT-3 Sandbox allows experimentation with AI without requiring expertise in machine learning.
Tone.js turns browsers into music studios, offering tools to create music on web pages.
Kaboom.js simplifies game development, making it quick and easy to create games.
Brain.js simplifies neural network usage, making it accessible to non-experts.
Chroma.js helps with color manipulation, providing harmonious color schemes for designs.
Chart.js enables the creation of interactive charts directly in web applications.
Anime.js facilitates smooth and complex animations for web projects.
Quill simplifies rich text editing implementation in web applications.
Cleave.js offers real-time input field formatting for improved user experience.

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Medium

321

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How to Organize Your iOS Project: A Practical Guide to Structures and Architectures

Choosing the right project structure in iOS development can impact codebase health and longevity.
Organizing by type keeps the project neat initially but may lead to scattered logic as the app grows.
Feature-based structuring groups code by feature, promoting modularity and separation of concerns.
Isolating features in separate modules is common in larger teams or enterprise-level apps for better organization.
Clean Architecture emphasizes separation of concerns with layers like Presentation, Domain, and Data.
VIPER architecture offers strong separation of concerns and testability but can be complex for smaller projects.
Hybrid approaches blending different structures or gradually implementing advanced architectures are common in real-world projects.
Adapting project structure to team needs and project requirements is key, focusing on clarity and maintainability.
Choosing the right structure from the start and evolving it as needed is crucial for scalability and collaboration.
Refactoring, modularizing, or adjusting the project structure over time is important for effective project scaling.

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Javacodegeeks

444

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Compose vs. Flutter: The Battle for Cross-Platform UI

In the battle for cross-platform UI development, Jetpack Compose and Flutter are two leading frameworks, offering fast development and native performance.
Flutter, by Google, is known for its single codebase across Android, iOS, web, and desktop, with a strong widget-based design.
Jetpack Compose, primarily for Android, is becoming cross-platform through Compose Multiplatform, extending to desktop and web.
Flutter excels in developer experience with a mature ecosystem, while Compose is favored by Kotlin-oriented teams for seamless integration.
In terms of performance, Flutter's Skia-based rendering offers smooth animations, while Compose focuses on near-native performance, especially on Android.
Flutter leads in ecosystem size and libraries, but Compose is quickly catching up.
Flutter prioritizes UI consistency across platforms, while Compose leans towards native look and feel.
Choosing between Flutter and Compose depends on team background, with each having its strengths in different scenarios.
Real-world use cases show Flutter being used by major companies, while Compose is adopted for internal tools and IDEs by JetBrains.
Ultimately, the decision between Compose and Flutter in 2024 depends on team fit, ecosystem alignment, and future goals, with both frameworks promising ongoing enhancements.

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26 Likes

Dev

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Using Tailwind JIT Mode for Faster Development

Tailwind JIT (Just-in-Time) mode is a game-changer for modern frontend developers, offering faster builds and dynamic class generation.
Key benefits include blazing fast build times, no PurgeCSS setup needed, support for arbitrary values, smaller CSS output, and enabling dynamic classes.
To enable JIT mode in Tailwind CSS 2.1 or higher, simply update the tailwind.config.js file and run the dev server.
Tips to maximize JIT mode include using arbitrary values creatively, keeping content paths accurate, pairing with tools like Vite or Next.js, and exploring plugins that work well in JIT mode.

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Logrocket

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Leader Spotlight: Structuring unstructured chaos, with Michael Tuccinard

Michael Tuccinard, Global VP of Digital Experience at Fisher Investments, shares insights on changing perspectives and tactics around user experience.
He focuses on elevating UX culture within organizations, emphasizing the importance of a holistic strategy centered on people's uniqueness.
Tuccinard suggests starting with someone in the organization interested in UX to drive change effectively, especially in traditional or process-driven cultures.
He advocates for running experience workshops to shift teams' focus to customer perspectives and tying UX metrics to business objectives.
In mature industries like financial services, Tuccinard faces the challenge of altering perceptions of UX beyond design systems and interfaces.
Measuring success through customer retention, termination reduction, and human-centered approaches helps validate UX initiatives.
Recruiting talent for high-performing UX teams involves seeking individuals who can navigate ambiguity and thrive in building something new.
Tuccinard emphasizes reframing solutions by starting with understanding problems before proposing solutions, especially when communicating with senior leadership.
He sees UX as a disruptor in traditional business models by fostering alignment, risk-taking, and innovation within organizations.
His approach involves helping businesses understand the impact of what they say on their products and aligning executives towards a common vision.

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2 Likes

Medium

412

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AI-Powered Bilingual Reading

The project aims to create a seamless bilingual reading experience by aligning two editions of a book through semantic alignment.
The process involves splitting text files of Russian and Spanish editions into readable, semantically matched fragments using spaCy for smarter segmentation.
To determine the optimal chunk size for the Spanish edition, a greedy pointer-based alignment strategy is employed, breaking down long sentences into smaller parts for better alignment accuracy.
Improving alignment through embedding representation and cosine similarity, translation is used to enhance alignment across languages, resulting in better alignment scores.

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