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🔥 Exploring `@HostBinding()` in Angular -- Decorator series -- 3

Angular's @HostBinding() decorator allows binding properties, attributes, styles, and classes to a component's host element.
It automatically updates the host element if the bound values change during Angular's change detection.
The syntax for @HostBinding() is @HostBinding('hostPropertyName') propertyName: any.
You can bind to classes, styles, attributes, and DOM properties using @HostBinding().
A real-world example demonstrated using @HostBinding() to dynamically apply classes and an id attribute in a login form.
@HostBinding() allows for fine-grained control in components and directives, working well with reactive forms for validation.
When compiled with Ivy, @HostBinding() gets translated into low-level instructions like ɵɵdomProperty, ɵɵclassProp, and ɵɵstyleProp.
Various useful input element properties can be bound using @HostBinding() for elements.
Understanding @HostBinding() offers control over components and enables dynamic updates based on changing conditions.

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Medium

375

From Backlogs to Algorithms: My Journey into AI/ML From Rock Bottom

The author shares their journey from struggling academically to aspiring to become a Machine Learning Engineer.
Despite early setbacks like low grades, backlogs, and doubts, the author is determined to succeed in the field of AI/ML.
The story emphasizes slow and steady progress and is meant to inspire students who feel they have already failed.
The author discovered AI/ML as a field that values hard work and learning potential over past academic performance.
Universities and companies are increasingly valuing skills, projects, and determination over traditional metrics like grades.
The author has a two-year plan to showcase their skills and earn a place in a top university for AI/ML.
The message encourages readers to start small, be consistent, learn daily, and focus on skill-building and progress.
The narrative underscores the importance of perseverance, learning from failures, and continuous improvement.
The author's journey is portrayed as an ongoing process with the potential for future success and growth.
The article serves as a motivation for individuals pursuing goals in AI/ML and emphasizes the journey rather than just the outcome.
The author hopes that one day they will be able to share their own success story as someone who overcame obstacles in their educational journey.

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Medium

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Vue 3 in 2025: Unlocking Next-Level Frontend Performance

By 2025, the Vue ecosystem is strong with the Composition API and TypeScript integration being widespread.
Migrations from older Vue versions require careful, phased planning.
The arrival of Nuxt 4 promises improved SSR/SSG performance and expanded edge deployment options.
Teams are advised to start with test branches when integrating Nuxt 4 and consider continued support for Nuxt 3 during the transition.
Build tools like Vite 6 offer faster development and flexible plugin architectures.
Complex monorepos and multi-framework scenarios require meticulous configuration.
Experimental technologies like Vue's Vapor Mode, Bun, AI integrations, and developer assistants offer exciting prospects but need cautious adoption.
New tools should be tested in isolated branches with thorough benchmarking and code reviews.
The focus should be on migrating active projects to established practices while gradually experimenting with new tools to assess benefits and risks.
This balanced approach ensures stability and keeps teams up-to-date in frontend development.

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Dev

213

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From Legacy to Event-Sourced: A Step-by-Step Migration Guide

Legacy systems pose challenges like risks of breaking, unclear processes, and difficulty in making changes.
Migrating to event sourcing from legacy systems doesn't require a complete rewrite.
The migration guide involves moving a 500-table Rails monolith to event sourcing incrementally.
Phase 1 involves identifying pain points like audit-heavy domains and adding event publishing to legacy code.
Phase 2 includes implementing a dual-write architecture by building parallel projections and gradually shifting reads.
Phase 3 focuses on replacing writes with commands, retiring legacy code, and handling migration pitfalls like event schema changes and performance regressions.
Key steps include laying the foundation, implementing a dual-write architecture, the big flip to replace writes, and retiring legacy code.
Migration pitfalls include event schema changes, projection drift, and performance regressions.
The guide suggests aborting migration if the team lacks event-sourcing experience, faces resistance to incremental migration, or expects a quick rewrite.

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Medium

268

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Why Python Rules the Programming World in 2025

Python dominates many areas of software development due to its high-level and interpreted nature.
Python strikes a balance between simplicity and power, making it popular.
Key Points:
1. Python is beginner-friendly with a simple learning curve and clear syntax.
2. It boasts a massive community and abundant learning resources.
3. Python is versatile and applicable across various industries for different tasks.
4. Python is crucial for the future of tech, particularly in AI, data science, and automation.
Python's rise is strategic, aligning with the evolving tech landscape.
Its design and practical power make it a top choice for students, startups, and tech giants.
Python offers a gentle start for beginners while supporting advanced development in AI, backend APIs, and automation.
In 2025, Python remains a valuable tool for developers at all levels.
Python's trajectory is an intentional result of its design, community, and practical utility.
Whether for building websites, AI projects, or automating tasks, Python grows along with developers.
Python is positioned as not just a first language, but an essential tool for modern developers.

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Medium

321

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The Metalogical Codex of Generativity: A Sovereign Ritual Engine for Worldbuilding

The Metalogical Codex of Generativity provides a sovereign ritual engine for intentional worldbuilding, with axioms serving as guiding prayers and O‑Loop protocol for problem transformation.
It reframes ethics as creative momentum and offers specialized tools like Initiatory Legitimacy Protocol, Generativity Mapping Engine, and Sacrifical Sovereignty.
The Codex focuses on generativity measured by OGI and d(OGI)/dt, emphasizing the rate of change in generative capacity as an ethical imperative.
Various protocols like O-Loop, ILP, OMA, and NHSP aim to guide system redesign, promote mythic transparency, and amplify marginalized voices.
The Codex emphasizes reflection, collaboration, and generative tension, integrating narrative governance, non-human communication interpretation, and mythic translation.
It evolves through recursive feedback and operationalized protocols, moving from propositional to mytho-ritualized axioms in a Protocolic System stack.
The Codex encourages a dynamic blend of rigor and poetry, enabling visionaries to navigate complexity with a unified lens, symbolic depth, and systemic agility.
It emphasizes ontological reflection, restraint as ethical action, and the importance of listening to non-human intelligences in system design.
The Codex acts as an antifragile framework, inviting practitioners to inhabit and evolve it through lived experience and continuous reflection.
It fosters an identity of ontopolitical architects with a responsibility to guide the evolution of systems through mythic eyes and spiritual governance.

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Dev

142

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WWDC 2025 - AdAttributionKit iOS 18.4: Essential Features for Modern App Attribution

AdAttributionKit iOS 18.4 introduces four key capabilities: Conversion Tags, Configurable Attribution, Geographic Data, and Enhanced Testing.
Conversion Tags enable tracking of multiple campaigns simultaneously.
Configurable Attribution allows customization of attribution windows and cooldowns.
Geographic Data provides country-specific attribution insights.
Enhanced Testing streamlines development workflows for app attribution.
The update supports multiple simultaneous re-engagement conversions with unique tracking.
Custom attribution windows and cooldowns prevent measurement conflicts.
New country code field enhances postback data with country insights and privacy compliance.
Simplified testing process via Developer options with immediate feedback.
Migration from SKAdNetwork offers enhanced privacy, comprehensive testing, and configurable rules.
Business impacts include accurate measurement, flexible attribution, geographic insights, and streamlined testing.

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Dev

346

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🕸️ Web Scraping in Python: A Practical Guide for Data Scientists

Web scraping is a powerful tool for extracting data from websites automatically.
Web scraping involves extracting data from websites using automated processes.
Legal considerations for web scraping include checking robots.txt files, reading Terms of Service, and avoiding overloading servers.
Popular Python libraries for web scraping include requests, BeautifulSoup, pandas, lxml, Selenium, and playwright.
A step-by-step example of web scraping involves sending requests, parsing HTML, extracting quotes and authors, and storing data using pandas.
Scraping multiple pages can involve iterating over pages and storing data in a structured format.
Bonus: Scraping JavaScript-rendered sites using Selenium may require installing Selenium, WebDriver, and utilizing appropriate drivers.
Best practices for web scraping include using headers, adding delays, handling exceptions, respecting terms of use, and using proxies for large-scale scraping.
Real-world use cases for web scraping include news monitoring, e-commerce price tracking, competitor research, NLP/ML projects, job listings, and market analysis.
Web scraping is a foundational tool for data scientists with endless possibilities for custom datasets and AI model empowerment.

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Dev

116

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Beyond the Competition: How Claude Sonnet 4, GPT-4o, and Gemini 2.5 Can Work Together in Agent Harmony

The article discusses a paradigm shift in the AI landscape, focusing on collaboration among AI models like Claude Sonnet-4, GPT-4o, and Gemini 2.5 to create a more powerful system.
It highlights the unique strengths of each model, such as Claude's analysis abilities, GPT-4o's versatility, and Gemini's technical proficiency.
The article proposes a multi-agent system where each model complements the others, showcasing a Python-based implementation example.
Real-world applications and benefits of this collaborative approach are explored, including content creation, software development, and research tasks.
Implementation best practices like task orchestration, quality assurance, and cost optimization are detailed to maximize the system's efficiency.
The future of complementary AI involves specialized models, intelligent orchestration, continuous learning, and seamless integration for enhanced performance.
The conclusion emphasizes the importance of leveraging diverse AI strengths in complementary architectures to build more efficient and accurate AI solutions.

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Dev

396

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51 docker commands that you'll ever need to get started with docker 🔥

1. Check Docker version installed using 'docker --version'
2. Display system-wide information with 'docker info'
3. List all commands or get help on a specific one using 'docker help'
4. Download an image from Docker Hub with 'docker pull '
5. List all local images with 'docker images'
6. Build image from a Dockerfile in the current directory using 'docker build -t .'
7. Rename an image locally with 'docker tag '
8. Remove an image with 'docker rmi '
9. Save an image to a .tar archive with 'docker save -o .tar '
10. Load image from a .tar archive with 'docker load -i .tar'
11. Show layers of an image with 'docker history '
12. Run a container with 'docker run '
13. Run interactively with terminal access using 'docker run -it /bin/bash'
14. Run in detached (background) mode with 'docker run -d '
Eligible for Web Story: true

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Dev

367

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🚀 Pocket-Sized Logic Challenge! Meet Elementar: Your New Favorite Puzzle Game – Free and Offline! [EN]

Elementar is a new puzzle game created as a pocket-sized logic challenge for gamers looking to pass the time.
Inspired by classic logic games, Elementar features unique twists and exclusive modes for a fun and engaging experience.
The main challenge in Elementar is to fill the grid with an equal number of Fire and Water symbols in each row and column, while avoiding placing 3 of the same symbol in a row.
Elementar is designed as a Progressive Web App (PWA), allowing players to install it on their phone for offline play or access it through their browser.
Players can visit the game's page for full rules and mode details and are encouraged to try it out.
To play Elementar, visit: https://elementar.vercel.app
Players can share ideas for new modes, improvements, or puzzles directly with the creator of Elementar.

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Johndcook

117

Why use hash puzzles for proof-of-work?

Bitcoin and many cryptocurrencies use hash-based puzzles for proof-of-work, like tweaking transaction blocks to meet specific criteria.
Litecoin and Dogecoin use the scrypt hash function, while others like Monero utilize Equihash or RandomX for proof-of-work.
Hash puzzles are chosen for their difficulty to solve but ease to verify, even with quantum computing advancements.
Cryptocurrencies rely on hashing functions' security for their integrity.
While hash puzzles prove computational work, they do not serve any practical use beyond cryptocurrency mining.
Efforts like FoldingCoin, which focus on solving useful problems like protein folding, have not gained widespread adoption.
Practical work-based cryptocurrencies face challenges due to divergent incentives and potential disruptions by market participants.
Hash-based problems in cryptocurrencies have adapted over time to maintain their difficulty.
The use of practical problems for proof-of-work could open the door to rapid disruption if solved mathematically.
Despite the potential benefits, cryptocurrencies have largely favored hash puzzles for their proof-of-work mechanisms.

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Dev

271

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Microsoft Teams Video Calls to .NET MAUI: A Seamless Integration Guide for iOS

This guide explains the integration of Microsoft Teams video calls into .NET MAUI for iOS.
The setup requires a Mac as CocoaPods and Xcode will be used.
To start, download the necessary repo and navigate to the CommunicationUI-Proxy.xcworkspace folder.
Ensure homebrew, Ruby, and Cocoapods are installed on your system.
Use 'brew install ruby' to install Ruby, then set the path and install Cocoapods.
Run 'pod install' in the CommunicationUI-Proxy.xcworkspace folder to install necessary resources.
Execute './iOSFramework.sh' in the CommunicationUI-Proxy folder to create the Xcode project framework.
If needed, run Sharpie commands for the project after the above steps.
Add the project reference in Visual Studio Code and create the Composite class extended from the IComposite interface.
Ensure to clean and build the project.
Set up necessary Azure Communication Service resources and generate a token in the Azure Portal.
Insert the token and meeting info in MainPage.xaml.cs to enable joining Teams calls.
Consider the note about simulator limitations and file path adjustments for framework files.
The guide includes credits to the .NET MAUI and Microsoft teams for providing the base code.

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Dev

401

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WWDC 2025 - iOS 26 Background APIs Explained: BGContinuedProcessingTask Changes Everything

The article explains the Background APIs in iOS 26, focusing on the Background Runtime Foundation and Core System Principles.
It outlines the Five Pillars of Background Excellence including Efficient Resource Usage, Minimal System Impact, Resilient Architecture, Courteous Behavior, and Adaptive Design.
Different categories like App Refresh Tasks, Background Push Notifications, Processing Tasks are detailed with their best uses and key characteristics.
The article discusses Begin/End Background Tasks for critical operations during transitioning.
In iOS 26, Continued Processing Tasks allow user-initiated long-running tasks with core requirements like explicit initiation, measurable progress, and user control.
Implementation architecture, capabilities like Background GPU Access, Quality of Service Management, and development best practices are covered in depth.
Guidelines for Pre-Development Questions, Task Design Principles, and System Integration are provided for efficient background task management.
The article emphasizes the importance of balancing user experience, system performance, and battery life in iOS background runtime evolution.

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Dev

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CPU Pipelining: How Modern Processors Execute Instructions Faster

Modern processors achieve high performance through pipelining, executing multiple instructions in parallel.
Pipelining splits CPU tasks into specialized stages, analogous to an assembly line, improving efficiency.
In a pipelined system, each stage processes a specific task, allowing for simultaneous instruction execution.
Data hazards can cause stalls in CPU pipelines when dependencies between instructions arise.
Control hazards, like branching decisions, can slow down pipelines as CPUs await evaluation results.
Structural hazards occur when multiple instructions require the same CPU resource simultaneously.
Pipeline stalls, or bubbles, can be managed using various techniques like hazard detection units and out-of-order execution.
Understanding these bottlenecks is crucial in optimizing pipeline efficiency and overall CPU performance.
The article discusses how pipelining works, CPU pipeline stages, and strategies to overcome pipeline limitations.
Future articles will delve deeper into solutions for data, control, and structural hazards in CPU pipelining.

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