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Gaming: The Evolution of a Digital Revolution

The history of video games dates back to the 1970s with arcade games like Pong and home consoles such as the Atari 2600.
Gaming evolved with advanced titles like Super Mario Bros, Sonic the Hedgehog, and The Legend of Zelda in the 1980s and 1990s.
The gaming industry today is worth over $180 billion globally, with various platforms and genres like action, sports, adventure, and RPGs dominating the market.
Despite its benefits in education and community building, gaming faces challenges like screen time concerns, addiction, and online toxicity, while the future holds promise with VR, AR, AI advancements, and inclusive game development.

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Hackernoon

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Why Learning a New Programming Language as an Experienced Developer Feels Harder Than Starting From Scratch

Experienced developers may find it harder to learn a new programming language compared to beginners due to mental baggage from previous languages.
Beginners have the advantage of thinking fresh without being influenced by previous programming language paradigms.
Experienced developers might struggle to adapt to new languages as they tend to think in ways influenced by their previous languages like C or Java.
To effectively learn a new programming language, it is crucial to embrace the language's philosophy, idioms, and community patterns rather than translating past experiences into it.

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Medium

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Why and How I Created Just Another Podcast Player

The author got into podcasts a few months before the pandemic and relied on Google Podcasts, which he loved for its simple design.
After Google forcefully redirected him to YouTube Music, he found the experience unsatisfactory, leading him to create his own podcast player app.
The author started by crafting the initial screens, using tools like Room for database management and ExoPlayer for audio playback.
The app developed by the author, called Only Podcasts, prioritizes simplicity and user privacy, with no ads, account registrations, or data tracking.

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Medium

305

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How May I Buy Large Volumes Of Bitcoin?

Over-the-counter trade (OTC) cryptocurrency trading is a service available to high-volume traders taking place away from digital currency exchanges.
OTC trading refers to trading that occurs via a dealer network rather than on a centralized exchange, providing a more private and less formal trading environment.
Large-volume cryptocurrency traders opt for OTC trades to avoid problems like slippage, higher costs, and risks of hacking and theft associated with trading on traditional exchanges.
OTC trades are typically preferred by entities such as private wealth managers or high-net-worth individuals, conducted directly between parties without the oversight of an exchange.

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Dev

165

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Recreating Apple's Liquid Glass Effect with Pure CSS ✨

Apple surprised everyone with the new 'Liquid Glass' design language in iOS 26 at WWDC 2025, inspired by their VR headset, the Vision Pro.
Developers are eager to recreate Apple's Liquid Glass effect using only HTML and CSS, aiming to achieve a shiny and responsive interface like the original design.
The CSS technique involves creating a frosted glass blur effect, semi-transparent layers, inner glow, and subtle glass-like edges to mimic the 'Liquid Glass' effect.
The Liquid Glass effect can be implemented across navigation menus, modal dialogs, dashboard widgets, mobile app interfaces, and landing page sections, offering new possibilities for modern web design.

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Osxdaily

309

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MacOS Tahoe 26 Beta 1 Available to Download Now

Apple announced MacOS Tahoe, versioned as MacOS 26, and the first beta is now available for download.
MacOS Tahoe 26 brings a new Liquid Glass interface, updated icons, actions to Spotlight, and Live Activities from iPhone.
To access the beta, users must be registered Apple developers and can download it via software update or full package installer.
Mac users can experiment with MacOS Tahoe beta by setting up a virtual machine or waiting for the public beta next month.
Hardware requirements for MacOS Tahoe 26 are strict, with compatibility mainly for newer Mac models.
Multiple Intel Macs are not supported in MacOS Tahoe 26, marking it as the last MacOS release to support Intel architecture.
To download MacOS Tahoe 26 Beta 1, users must backup their Mac and follow the steps in System Settings for upgrading.
The beta updates will arrive through Software Update settings area for future versions of MacOS Tahoe.
Direct download links for MacOS Tahoe 26 Developer Beta 1 InstallAssistant.pkg and IPSW file are available from Apple.
Apple has also released beta versions of iOS 26, iPadOS 26, watchOS 26, tvOS 26, and visionOS 26 along with MacOS Tahoe 26.

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Medium

121

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The Two JavaScript Operators That Finally End “Cannot Read Property of Undefined”

Optional Chaining ( ?. ) provides a concise way to access nested properties in JavaScript, avoiding runtime errors.
The Nullish Coalescing Operator (??) handles default values more precisely by returning the right-hand side operand only if the left-hand side is null or undefined.
The synergy between Optional Chaining and Nullish Coalescing in JavaScript helps developers avoid runtime errors and write more robust code.
These advancements in JavaScript development enhance safety, readability, and code efficiency by eliminating redundant null checks and expressing intent clearly.

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Medium

101

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I Couldn’t Reproduce the Bug — Until I Tried a Different Timezone

A developer faced a challenging bug related to timezones while working on a scheduling application.
Users in Sydney experienced timestamp issues despite the code appearing correct locally.
The developer initially suspected browser or client-side errors, but the problem remained unresolved.
Ultimately, the issue was traced back to incorrect timezone handling by the developer's own code.

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PlanetPython

401

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PyCoder��s Weekly: Issue #685: Polars Data Validation, reversed, Counting Words, and More (June 10, 2025)

This issue of PyCoder's Weekly covers data validation libraries for Polars DataFrames, how to loop in reverse in Python, preventing Postgres slowdowns in Python apps, and building a word count command-line app in Python.
The post explores Python data validation libraries supporting Polars DataFrames and discusses the best ones for specific use cases.
It also covers how to reverse iterables in Python, tips to avoid Postgres performance regressions, and a self-paced coding challenge to build a word count command-line app.
Additionally, there are updates on Python security releases, Django security releases, and upcoming Python events like PyCon NL 2025 and PyCon US 2025.

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Dev

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Csharp .NET Interview Topics - How'd I do?

The article discusses essential topics to prepare for a C# .NET interview, focusing on .NET 8 and .NET 9 as the latest versions.
Topics covered include Entity Framework Core, asynchronous programming, C# language fundamentals, design patterns, dependency injection, mocking, SQL and database concepts, frontend and web development topics, collections and LINQ, and .NET ecosystem overview.
It emphasizes key concepts such as handling transactions and concurrency in EF Core, asynchronous programming best practices in .NET, C# language fundamentals like class vs struct, abstract vs virtual, and generics, as well as design patterns, testing, SQL concepts, frontend development, collections, and LINQ.
The article concludes by highlighting the importance of understanding the underlying concepts rather than just memorizing for a successful interview preparation.

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Dev

192

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Modular Monoliths in Rails: Taming Complexity Without Microservices Madness

Modular monoliths offer a solution to handling complexity in Rails apps without resorting to microservices.
Challenges with the traditional Rails structure include models becoming overloaded, circular dependencies, and slow testing.
By implementing a component-based approach, Rails apps can benefit from explicit boundaries, faster tests, and easier extraction of components.
Real-world tradeoffs of modular monoliths include better scalability for complex business logic but can be overkill for small apps or cases where microservices are more suitable.

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Dev

371

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Telegram AI Agent step by step (my first experience)

A science enthusiast built an AI agent using Telegram bot to automate staying updated with scientific news and reminders, making it both fun and practical.
Tech stack used: Telegram Chatbot, OpenAI Assistant API, APScheduler, and SerpAPI.
Capabilities of the AI agent include composing search queries, conducting scheduled web searches, sending results to a Telegram channel, delivering reminders, and working autonomously.
Step-by-step implementation involved creating the Telegram bot, getting API keys, setting up the project in the IDE, writing Python scripts, testing the bot, and deploying to production.

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Medium

384

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Metaverse Economics 101: Part 3 – How to Turn an In-Game Item Marketplace Into a Profit Center in…

In Web2 gaming, in-game marketplaces allow players to trade in-game loot and gear using play money which has no real value.
Web3 gaming ties in-game currency to cryptocurrencies, turning the marketplace into a real-money economy for players and developers.
Every trade in Web3 gaming involves real value transactions, with a percentage tax that contributes to a reward pool, developer income, and game vault.
Monetizing in-game item transactions without restricting player freedom creates a revenue-generating profit center that benefits from the player base's growth.

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Medium

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The Day I Finally Abandoned ChatGPT — And Why You Should Too

The author canceled their ChatGPT Plus subscription not due to cost but due to OpenAI's degradation of the product's performance.
Despite being a devoted user who restructured their professional life around ChatGPT, the author felt let down by OpenAI's prioritization of growth metrics over user experience.
Stanford and UC Berkeley research showed empirical evidence of ChatGPT's systematic degradation while GPT-3.5 saw improvement, suggesting conscious design choices prioritizing speed and cost over capability.
OpenAI possesses superior technology like GPT-4.1 but restricts it to API while limiting ChatGPT Plus subscribers, leading to dissatisfaction among users and a shift towards other AI providers.

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5 Likes

Medium

288

I HATE UPWORK

Ibrohim is a Software Engineering graduate and AI/ML specialist with a successful track record of delivering impactful solutions globally.
Specialization in AI/ML Development & Integration, Full-Stack Development, and Business Process Automation.
Noteworthy achievements include 70+ hackathon participations, 10+ wins, and published research with an 87.5% accuracy in medical image classification.
Experienced in mentoring developers, founding tech communities, and speaking at industry conferences. Also known for rapid project delivery and clear communication through technical tutorials.

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