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Pharo in a Nutshell: A Dummy’s Guide to Smalltalk Programming

Alan Kay, known for coining the term 'Object Oriented Programming,' envisioned encapsulated mini-computers communicating via message passing inspired by biological systems.
Smalltalk was developed by Alan Kay, Dan Ingalls, Adele Goldberg, and others at Xerox PARC, emphasizing messaging over objects themselves in OOP.
Object-oriented programming essentials include message passing, encapsulation, and dynamic binding, with a focus on dynamic behavior rather than class hierarchies.
Smalltalk evolved from Smalltalk-71 to Smalltalk-80, with the latter becoming widely known for its minimal syntax and focus on message passing.
In Smalltalk, everything is an object, including control structures implemented as methods, emphasizing pure object-oriented principles.
Objects in Smalltalk can hold state, receive messages, and send messages, with message passing being the core mechanism for computation.
Pharo is a modern Smalltalk implementation, emphasizing the importance of understanding message passing for effective Smalltalk programming.
Pharo provides a user-friendly interface with components like the Playground, Transcript, and Class Browser for writing, displaying output, and managing classes respectively.
Smalltalk's message passing philosophy in Pharo differs from popular OOP languages, reflecting its pure object-oriented nature and adherence to Alan Kay's vision.
This summary provides a foundational understanding of Smalltalk, message passing, and the unique approach to programming in Pharo.

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Medium

438

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I tested out all of the best language models for frontend development. One model stood out.

DeepSeek V3 and Google's Gemini 2.5 Pro outperformed other language models in benchmark tests for frontend development.
The article explores how these models perform on a frontend development task related to building an algorithmic trading platform feature called 'Deep Dives'.
Language models like Grok 3, Gemini 2.5 Pro, DeepSeek V3, and Claude 3.7 Sonnet were tested for generating a landing page for the feature.
Grok 3 produced basic output, while Gemini 2.5 Pro excelled, ultimately outperformed by DeepSeek V3 and Claude 3.7 Sonnet.
Claude 3.7 Sonnet stood out by delivering sophisticated frontend landing pages with new components and SEO-optimized content.
All models produced clean, readable code, but differences in visual elements and code quality were notable.
Gemini 2.5 Pro and Claude 3.7 Sonnet utilized templates effectively, while Claude excelled in producing high-quality, maintainable code.
While Claude 3.7 Sonnet was top in code quality, factors like manual cleanup, cost-performance trade-offs, and model capabilities influenced the choice.
The comparison shows AI's advancement in handling complex frontend tasks, with Claude 3.7 Sonnet emerging as the preferred model for quality and design aesthetics.
Ultimately, the choice of a language model depends on priorities such as quality, speed, and cost in frontend development workflow.
The article highlights the progress in AI's frontend development capabilities, emphasizing Claude 3.7 Sonnet's superior output balanced with human oversight needs.

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Medium

304

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Uganda: A Nation with a Mad Man’s Body

Uganda's infrastructure is decaying, hindering progress akin to a mad man struggling to walk.
The economy in Uganda is suffering from heavy taxation, corruption, and poor policies.
Maternal healthcare is inadequate, leading to high maternal mortality rates.
Ugandan workforce faces exploitation and limited rewards.
Education system in Uganda is costly and ineffective, leaving many without skills.
Governance in Uganda suppresses dissent and fails to deliver justice.
Tribalism in leadership exacerbates inequality, further dividing the nation.
Uganda's leadership manipulates and pits its own people and institutions against each other.
Uganda's youth are seen as the key to awakening a subconscious power for change.
The article emphasizes the importance of unity and action to overcome the challenges in Uganda.

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Medium

165

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Export Your Entire Code Repo into an LLM Prompt with RepoScribe

RepoScribe is introduced as a solution to leverage large language models (LLMs) for codebases.
RepoScribe intelligently filters code directories and concatenates file content to create a single prompt.
It provides a text-based file tree representation to navigate the concatenated file.
The tool helps in enhancing workflows by enabling deeper interactions with codebases.

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Dev

360

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Building Your First Android App: A Beginner's Guide

This guide provides a step-by-step beginner's guide for building your first Android app.
It starts by setting up Android Studio and understanding the project structure.
Then, it walks through designing the user interface and adding functionality with Kotlin.
Finally, it covers running the app, adding a second activity, and publishing the app on the Google Play Store.

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Dev

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Demystifying CSS Grid: A Comprehensive Guide for Modern Layouts

CSS Grid is a powerful layout system that transforms the way web developers structure their UIs.
CSS Grid Layout is a two-dimensional layout system for the web, designed for building complex web applications and web interfaces.
Key concepts include Grid Container, Grid Items, Grid Lines, Grid Cells, and Grid Areas.
CSS Grid comes with advanced features like Named Grid Areas and Media Queries for Responsiveness.

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Medium

331

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Too Late to Know! A New Choice for Real-Time Communication: fetch-event-source, Truly Amazing

SSE (Server-Sent Events) is a lightweight protocol based on HTTP for server-to-client real-time data push.
The combination of SSE and the browser's native EventSource API enables efficient real-time communication.
SSE significantly reduces latency and resource consumption compared to polling.
Introduction to fetch-event-source, an open-source component that provides Fetch API functionalities when initiating event source requests.

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Medium

205

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How I Turned $500 into $15 a Day with This App

The HAHM App offers a straightforward pathway to generating passive income.
By performing simple tasks, users can earn $15 every day.
The app is designed for those looking to make extra money without a significant time commitment.
The registration process is simple, and the app provides a realistic potential for a reliable income stream.

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Medium

308

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Spring Data JPA @OneToOne: Handling Delete Operations Efficiently

Spring Data JPA simplifies database interactions, but managing deletions, particularly in one-to-one relationships, demands a structured approach.
One-to-one relationships present unique challenges when deleting data. Cascading deletes and proper annotations are crucial for maintaining data integrity.
Handling DELETE requests in a Spring application involves using a REST controller and Spring Data JPA repository. Proper exception handling is important.
Testing deletion logic is essential to ensure data integrity and application stability.

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Dev

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Burnout, Side Projects & Slippers: Let's Talk About The Dev Struggle

Skyler, a full-time software engineer, shares his struggle of balancing work, personal life, and creative projects.
He discusses the challenges of burnout and the search for shortcuts like supplements, energy drinks, and nootropics.
Skyler emphasizes the importance of discussing the personal side of being a programmer and aims to start a series on dev.to.
He shares his own project, Hackrabbit, focused on helping developers stay energized, hydrated, and focused without crashing.

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Towards Data Science

113

Data Science: From School to Work, Part III

Error handling is a critical part of building robust applications, preventing crashes and inconsistent data.
Proper error handling in Python involves try-except blocks, raising exceptions, and using the finally statement for cleanup actions.
Specific exceptions like ZeroDivisionError, KeyError, IndexError, TypeError, and FileNotFoundError should be caught and handled.
Custom errors can also be defined and raised in Python code.
The finally block executes cleanup actions regardless of errors occurring or not.
Best practices for error handling include catching specific exceptions, providing explicit messages, avoiding silent failures, and using else and finally blocks.
Logs are essential for tracking events during program execution, debugging, and monitoring application health.
The loguru package in Python simplifies logging with different levels like DEBUG, INFO, ERROR, and CRITICAL, allowing for better message formatting.
New log levels can be defined, and configurations like sink, level, format, filter, colorize, and serialize can be customized in loguru.
Adding context data like user IDs to logs and using child loggers in loguru can help in troubleshooting complex applications.

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Dev

425

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Introduction to GitHub Actions

GitHub Actions allows you to automate tasks within your GitHub repository.
A workflow is defined in a .yml file and consists of a unique name, trigger event, job definition, and steps.
Trigger events include push, pull_request, and workflow_dispatch for manual triggering.
Jobs run in specified operating system environments and contain steps that define tasks to be executed.

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Python Blogs

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CoinGate: Best Bitcoin & Crypto Payment Gateway & Processor

CoinGate is a leading cryptocurrency payment gateway that allows businesses to accept payments in Bitcoin and more than 70 other digital currencies.
Key Features of CoinGate include wide cryptocurrency support, instant conversion to fiat, multiple integration options, API for developers, Lightning Network support, payment buttons, and a point of sale system.
CoinGate offers seamless integration, secure and compliant transactions, no chargebacks, and competitive fees, making it a superior choice among crypto payment gateways.
CoinGate is ideal for e-commerce shops, freelancers, retail stores, subscription-based platforms, gaming and digital services, and any business looking to accept crypto payments.

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Medium

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Ariana Grande "Brighter Days Ahead: Eternal Sunshine Deluxe" Album | Zip & Mp3? Download

Ariana Grande's new album 'Brighter Days Ahead: Eternal Sunshine Deluxe' is set to be released soon.
The album is accompanied by a short film featuring Grande revisiting the Brighter Days memory-wiping clinic.
In the film, Grande's character, Peaches, is shown waiting in a wheelchair as her name is called.
The teaser hints at Peaches returning to the clinic when she is older.

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Medium

326

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How to find your next AI startup idea when everything seems possible

The article discusses a mental model called the Critical Frequency Matrix to identify valuable AI startup opportunities within enterprises.
It categorizes enterprise tasks based on frequency and criticality to create a simplified fingerprint of the business.
Tasks that are low-frequency and high-criticality, like major corporate pivots or crisis management, are where human leadership shines over AI automation.
High-frequency, high-criticality tasks offer market opportunities but pose challenges for AI agents, requiring near-perfect reliability and accuracy.
Low-criticality, high-frequency tasks, such as routine customer support inquiries, are ideal for automation through AI systems.
Low-frequency, low-criticality tasks offer potential through generalized AI assistance but require exceptional adaptability and intelligence.
The market value of automating a task increases with frequency and criticality, with tasks being more valuable when they are both frequent and essential to the business.
The article suggests focusing on tasks that cause constant pain as they may hold higher business value than solving episodic pain.
The framework helps investors focus on enterprise value and identifies areas with potential for new AI-native ventures.
It provides a checklist for building an AI-native startup and emphasizes the importance of addressing interconnected tasks effectively.

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