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How to Shift Associated Data After Filtering an Array in JavaScript?

When filtering arrays in JavaScript, maintaining the alignment of associated data with array elements is crucial for data integrity.
To address this issue, a step-by-step solution involves defining structures, setting up original data with associated metadata, implementing a shift function, and then utilizing it to realign the data.
A utility function is used to generate keys for associated data, and a core function shifts the metadata after filtering, ensuring correct alignment based on the filtered array and removed indices.
By carefully handling the data structures and indices, JavaScript developers can effectively shift associated data back into their correct positions after filtering arrays, maintaining data consistency and integrity.

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Dev

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60 Interview question-answer of Angular 19 with follow-up question. Everyone should know. (31 - 60)

31. ng-content allows content projection in Angular components.
32. ngClass for CSS class manipulation, ngStyle for inline styles.
33. BehaviorSubject stores and emits current value to new subscribers.
34. Lazy loading uses loadChildren to load modules only when needed.
35. RouterLink directive for navigation and passing route parameters.
36. ngFor iterates over arrays with tracking for performance.
37. HostListener for DOM event handling, HostBinding for properties.
38. Static queries (static: true) resolved once, dynamic (static: false) during change detection.
39. Custom form controls use ControlValueAccessor interface for integration.
40. Performance optimization in Angular includes lazy loading and AOT compilation.

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Medium

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Best Java trainning institute in Pitampura, Rohini

Comprehensive Curriculum: The institute offers a meticulously designed curriculum that caters to beginners and experienced programmers alike, covering basic syntax to advanced Java programming techniques.
Expert Faculty: Students learn from experienced and passionate faculty members who bring real-world experience to the classroom, providing up-to-date knowledge and mentoring throughout the learning journey.
Hands-On Experience: The courses focus on practical exercises and real-world projects to enhance problem-solving skills and prepare students for job responsibilities, promoting learning by doing.
Industry-Recognized Certification: Upon completion, students receive an industry-recognized certification that validates their skills, boosts career prospects, and demonstrates quality education and practical experience to employers.

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Analyticsindiamag

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OpenAI’s GitHub Integration Brings ‘Deep Research for Your Code Base’

OpenAI announced a GitHub integration for the Deep Research tool in ChatGPT, allowing users to link repositories to ChatGPT for compiling reports based on queries.
GitHub is a platform for hosting code repositories and was acquired by Microsoft in 2018. OpenAI shared an example of browsing through a repository to demonstrate the feature's capabilities.
This integration is part of OpenAI's efforts to cater to developers, following the acquisition of Windsurf for $3 billion and release of Codex CLI tool for code generation.
Newly released o3 and o4-mini models by OpenAI show improved performance in benchmarks like Codeforces competition code compared to their predecessors.

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Medium

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How to Choose the Right Programming Course When You’re Just Starting Out

Consider what you want to become before enrolling in a programming course.
Different tech jobs require different skill sets, such as front-end skills for Web Developers.
Start with a language like Python or Java that suits beginners and offers a solid foundation.
Choose a course with practical exercises and live interaction for better learning outcomes.

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Dev

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Bare Metal Dedicated Servers: The Ultimate Hosting Solution for Performance and Control

Bare Metal Dedicated Servers provide the highest level of control and performance for businesses and developers.
Bare Metal Servers offer full access to hardware resources without virtualization layers, ensuring maximum performance and customization.
Key features include high performance, full customization, dedicated resources, enhanced security, and scalability.
Advantages for businesses include predictable performance, compliance, privacy, better ROI, and unmatched performance and control.

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Medium

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The Role of AI in Modern Software Testing

Artificial Intelligence (AI) has become a transformative force in technology, impacting various industries with its ability to learn, recognize patterns, and make intelligent decisions.
Software testing is crucial for delivering reliable, high-performing, and secure applications, especially in the face of increasing complexity and shorter release cycles.
AI-powered testing automates tasks, predicts issues, and enhances test coverage, making it a game-changer in modern software testing environments.
AI in software testing involves leveraging technologies like machine learning, NLP, and predictive analytics to optimize the testing process.
AI integrates with popular testing tools and frameworks to increase test coverage, minimize maintenance efforts, and accelerate delivery cycles.
AI-driven automation automates test case generation, predicts failure points, optimizes coverage, and identifies bugs based on historical data and real-time behavior.
AI excels in visual and UI testing, improves resource allocation, reduces manual effort, and provides valuable insights for risk management and software optimization.
Challenges in AI-driven testing include data quality, integration complexities, ensuring human-AI collaboration, and continuous learning and adaptation of AI models.
AI's role in software testing is evolving to support smarter, autonomous testing processes, enabling faster, high-quality software delivery in Agile and DevOps environments.
AI fundamentally transforms software testing by enhancing efficiency, accuracy, and coverage, enabling companies to release high-quality software quicker and make data-driven decisions.

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Medium

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GPT-4o Didn’t Get Dumber: It Just Lacks Reasoning Privileges.

Reasoning capabilities in AI models like GPT-4o help reduce hallucinations by providing accurate outputs after processing requests.
Despite being OpenAI's fastest multimodal model, GPT-4o has raised concerns due to the term 'Sycophancy' used by developers.
There is a call for OpenAI to utilize reasoning and additional processing time in GPT-4o to minimize issues like hallucinations.
Recent findings suggest that GPT-4o lacks thorough thinking processes, leading to troubling outcomes and inconsistencies.

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Softwaretestingnews

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AI’s Impact on the Office Space Sector and the Working World

AI's impact on the office space sector is predicted to have a more lasting effect than Covid.
AI enables collaborative spaces and on-demand connective spaces in the workplace.
The concept of Space as a Service (SaaS) is on the rise to manage surge capacity.
AI tools help track office utilization, manage desk reservations, and optimize the built environment.
Smart offices equipped with AI can adjust lighting and temperature for comfort and sustainability.
AI streamlines the process of finding suitable office space through automated assessments.
AI helps design floorplans efficiently and aids in reviewing documents for contract processes.
AI brings changes that may affect workforce size, leading to shorter-term agreements.
Businesses focus on balancing AI efficiency with human elements to maintain collaborative workspaces.
AI revolutionizes office spaces, making them more flexible, efficient, and intelligent.

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Pymnts

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Digital Marketplaces Rewrite Insurance Rules as AI Drives Industry Shake-Up

The insurance industry is witnessing significant changes with the emergence of digital marketplaces driven by AI technology.
Traditional practices in the industry are being redefined due to factors like natural disasters, inflation, and high interest rates.
First Connect's platform utilizes technology and advanced analytics to match insurance carriers with agents efficiently, benefitting policyholders with tailored and cost-effective insurance options.
AI is expected to revolutionize various aspects of the insurance industry from pricing to claims processing, with First Connect leveraging AI to streamline processes and enhance efficiency.

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Dev

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C# How to ambient transaction work under the hood

The article delves into how TransactionScope simplifies transactional consistency by managing transactions through the ambient transactions mechanism.
It explains the process behind the creation of a TransactionScope, including validation, transaction creation, and async flow options.
The article discusses how ExecutionContext handles the logical execution context and AsyncLocal values, ensuring data integrity across threads and tasks.
Regarding passing transactions to databases like Npgsql, the article explores how Transaction.Current is checked and connections are enlisted in transactions.
Commit() and Rollback() processes are detailed, explaining that Transaction.Current merely provides a reference and does not handle commit or rollback operations.
The article contrasts TransactionScope with IDbTransaction, highlighting their distinct functionalities in managing transactions.
It elucidates how TransactionScope works without directly involving IDbTransaction, using mechanisms like VilatileResourceManager for commit operations.
In the conclusion, the article emphasizes the simplicity and elegance of TransactionScope in ensuring data consistency in C# applications.
The article provides comprehensive insights into the inner workings of TransactionScope and its impact on transaction management.
It includes detailed explanations on how transactions are passed, managed, committed, and rolled back within the context of ambient transactions.
The accompanying demo project and transaction logging serve to further illustrate the practical implementation and benefits of using TransactionScope in C# applications.

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Dev

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EyeDropper API for Color Selection from Screen

The EyeDropper API is a web API that allows developers to create color selection interfaces from the user's screen, enhancing user experience in design, art, and web development.
Introduced in 2018 as part of CSS Color Module Level 4, the EyeDropper API enables real-time color picking without third-party libraries.
The EyeDropper API utilizes methods like open() and close() to manage color detection and selection on the screen.
Implementing the EyeDropper API requires understanding asynchronous programming and promise handling in JavaScript.
The open() method returns a promise object containing the selected color in various formats, such as sRGBHex.
Advanced implementations include handling multiple color selections and maintaining a color history feature using local storage.
Considerations like handling permissions, accessibility, and performance optimizations are vital when using the EyeDropper API.
Compared to traditional color picking libraries, the EyeDropper API offers advantages in performance, simplicity, and browser support.
Real-world use cases include design applications, art software, and e-commerce platforms that can benefit from the EyeDropper API's functionalities.
Debugging techniques and potential pitfalls such as user permissions and browser compatibility should be considered when working with the EyeDropper API.

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Dev

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10 open-source cursor alternatives devs are loving in 2025

In 2025, developers are exploring open-source alternatives to Cursor, a popular coding tool, to avoid paywalls and improve privacy.
The open-source community has introduced various tools catering to different preferences, such as Vim users, VSCode enthusiasts, and those concerned about data privacy.
Developers are moving away from proprietary tools like Cursor due to issues such as freemium models, data privacy concerns, lack of customization, and dependency on live connections.
Good Cursor alternatives in 2025 should offer contextual code understanding, tight editor integration, customizability, real Git integration, and community support.
Several actively developed open-source alternatives to Cursor include tools like Continue.dev, Cursor.nvim, CodeGeeX 2.0, OpenDevin, Tabby, FauxPilot, Blackbox AI CLI, DeepSeek Coder, BigCode StarCoder, and Devika.
Each tool has unique strengths, such as similarity to Cursor, terminal integration, multilingual support, autonomous coding assistance, local operation, Git awareness, etc.
For specific needs, tools like Continue.dev, Tabby, Cursor.nvim, CodeGeeX, and Devika cater to different preferences regarding performance, privacy, and workflow requirements.
Open-source models like HuggingFace, Mistral, DeepSeek Coder, StarCoder2, and others power these Cursor alternatives, offering customizable and self-hostable options.
Though open-source AI dev tools provide flexibility and transparency, they come with challenges like installation complexity, heavy local models, project staleness, potential errors, and debugging requirements.
The future of development tools in 2025 emphasizes hybrid setups combining local and cloud processing, the rise of LLM plugins for enhanced productivity, and the thriving nature of community-driven tools in the open-source space.
Resources like open-source tools, LLMs, communities, guides, and bonus tools are available for developers looking to explore and utilize open-source Cursor alternatives in 2025.

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Dev

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esProc SPL vs DuckDB: Which is more Lightweight for In-Application Computation

DuckDB and esProc SPL are compared for in-application computation, focusing on lightweight aspects.
Both DuckDB and esProc SPL can be embedded in applications, with DuckDB being convenient for Python integration and Java ecosystem compatibility via JDBC, while esProc targets the Java ecosystem primarily.
esProc SPL exhibits lightweight characteristics with a small installation package, support for hot deployment, and compatibility with various data sources through a native interface approach.
esProc SPL's inclusion of flow control capabilities within its data processing language makes it stand out against DuckDB, which lacks such capabilities, necessitating external languages like Python for complex computations.

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Dev

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How Developers Can Build AI Tools Without a PhD

AI tools are now accessible to developers without a PhD, thanks to modern tools and APIs.
Developers can build powerful AI applications using languages like JavaScript and Python with lower entry barriers.
Key points highlighted include the myth that AI building requires advanced math, the tools that aid in AI development, a sample 5-step plan to create an AI tool, and a recommended resource for learning AI tools with real code.
Developers are encouraged to start small, leveraging APIs and creativity to become AI product creators without needing a complex understanding of ML theory.

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