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PlanetPython

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EuroPython Society: EuroPython Society at PyCon US 2025

EuroPython Society had a booth at PyCon US for the first time to connect with Python communities, distribute stickers, and discuss their grants program.
A documentary about Python's history and community, featuring over 20 core developers, was announced at PyCon US with the premiere scheduled for EuroPython.
EuroPython Society members had a group photo at the PyLadies auction and spent evenings together networking outside of sessions.
Several members of EuroPython Society received community awards, including the chair Artur Czepiel, former board member Laís Carvalho, and former chair Raquel Dou.

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Medium

243

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Narcissism as a Service (NaaS): The AI Will Validate You Now

AI technology is increasingly being used for various personal services like therapy, relationship advice, and scheduling, leading to a rise in narcissism and manipulative behavior.
The use of AI in gaslighting and manipulating others is becoming more scalable, contributing to a potential increase in AI-induced mental health issues.
While mainstream medicine may not recognize conditions like Electromagnetic Hypersensitivity (EHS), individuals experiencing symptoms should seek support from open-minded doctors and non-medical support groups.
To manage EHS symptoms, individuals can consider finding integrative doctors, joining support groups, and taking steps to protect themselves from electromagnetic exposure in a practical and holistic manner.

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Dev

166

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The One Thing Nobody Tells You About Learning to Code

Learning to code is more about learning how to be wrong repeatedly and not letting that discourage you.
The process of learning to code involves emotional challenges and dealing with self-doubt and shame.
Debugging plays a significant role in coding, often requiring more time than writing actual code.
Building projects helps in discovering what you don't know and aids in the learning process, even amidst confusion.
An 'emotional dev stack' comprising attributes like frustration, persistence, curiosity, humility, and community is crucial for growth in coding.
There is no ultimate mastery in coding; even senior developers continue to learn and face challenges.
The journey of learning to code involves transitioning from feeling inadequate to feeling competent and helping others.
The key to learning is managing your doubts and persisting through the difficult and demoralizing times.
Breaking things and making mistakes is an essential part of the learning process in coding.
Embrace the journey of coding, from initial struggles to incremental progress, and eventually feeling a sense of accomplishment.

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Dev

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Day 5 - User Inputs in Component

Day 5 tutorial demonstrated how to bind input fields and a checkbox to reactive states in different frameworks.
In Vue 3, refs like newItem and newItemHighPriority were used to bind to an input field and checkbox respectively.
In SvelteKit, $state runes like newItem and newItemHighPriority were bound to the text input and checkbox.
In Angular 19, signals newItem and newItemHighPriority were bound to input fields using [(ngModel)].

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Dev

139

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PandaStack: The All-in-One Platform Solving Developer Infrastructure Headaches

PandaStack is an all-in-one platform addressing the common developer headache of managing multiple platforms while deploying applications and handling infrastructure, with the aim to simplify the process and reduce context switching.
PandaStack offers true infrastructure consolidation by providing an integrated ecosystem supporting various technologies such as web frameworks, databases, CMS solutions, e-commerce platforms, DevOps tools, AI tools, monitoring, project management, and more in a single cohesive environment.
Key benefits for developers using PandaStack include reduced context switching, simplified troubleshooting, consistent environments, streamlined team collaboration, and cost efficiency, resulting in a more efficient deployment process.
PandaStack's unified approach to infrastructure management aims to streamline the deployment process, eliminate the need to navigate between multiple platforms, and provide significant cost savings for developers, making it a promising solution for modern application development.

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Javacodegeeks

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Fine-Tuning LLaMA for Code Completion (2025 Edition)

In 2025, fine-tuning large language models like LLaMA for code completion has become more accessible with improved tools and techniques.
Key steps involve preparing the codebase, instruction tuning, retrieval-augmented fine-tuning, fine-tuning with PEFT/LoRA, training setup, and inference with retrieval augmentation.
Best practices in 2025 for fine-tuning LLMs like LLaMA emphasize hardware optimization, data preparation, training strategy, retrieval augmentation, security measures, and deployment strategies.
The future of AI-assisted coding lies in smarter, leaner, and more responsive models that integrate seamlessly into developer environments, offering personalized AI coding assistants for improved efficiency and security measures.

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Hackaday

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The Mouse Language, Running on Arduino

The MOUSE language, originally designed for 70s and 80s computers with limited memory, can now be run on an Arduino.
The syntax of MOUSE resembles modern esoteric languages, using Reverse Polish notation and processing single letters as specific instructions.
The current version of MOUSE by [Ivan] includes changes to adapt to the modern computing environment and can run on an ATmega328P with minimal memory usage.
Additional features of [Ivan]'s version of MOUSE include support for PS/2 devices, video output, and saving programs to the internal EEPROM.

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Dev

302

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Step-by-Step on how to Link SSH to GitHub from Your Server

When you use SSH to clone a GitHub repository on your server, you’re authenticating the server to GitHub using an SSH key.
The process involves generating an SSH key pair on your server, with the private key staying on the server and the public key copied to GitHub.
GitHub verifies the public key to authorize access, allowing cloning without entering a username/password when commands like 'git clone' are executed.
Key steps include generating an SSH key on the server, copying the public key to GitHub, testing the connection, and then cloning repositories using SSH without the need for usernames or passwords.

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Dev

378

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Why You Need an AI Code Checker

AI code checkers are essential to differentiate between human-written and AI-generated code, ensuring quality, security, and adherence to coding standards.
They help detect AI-generated code, errors, vulnerabilities, enforce coding standards, and analyze performance.
AI-generated code, while powerful, poses risks like plagiarism, security vulnerabilities, lack of original problem-solving, and the 'AI Hallucination Problem.'
Key functions of AI code checkers include analyzing code structure, comments, complexity, metadata, and using stylometric analysis.
Popular AI code checker tools in 2025 include CodeBERT, Copyleaks, ZZZ Code AI, and GalaxyAI Code Checker.
Checking for AI-generated code manually involves looking for perfection, testing understanding, unusual variable names, and using static analysis tools.
AI testing agents like Keploy offer alternatives for unit test generation in VS Code or GitHub, emphasizing responsible AI usage.
Developers are urged to understand AI-generated code, test thoroughly, and consider AI code checkers before deployment.
AI-generated code is a valuable tool when used responsibly, and leveraging AI can enhance development skills.
FAQs address accuracy of AI code checkers, ethical considerations, the future role of AI in coding, trust in AI-generated code, and the availability of Keploy PR Agent.

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Dev

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Declare an array in TypeScript

In JavaScript, you declare an array like this: const fruits = ['apple', 'orange', 'banana'];
In TypeScript, declare an array with type like this: const fruits: string[] = ['apple', 'orange', 'banana'];
Avoid declaring an empty array with const fruits: [] = [], as it's incorrect in TypeScript.
Also, refrain from using 'any' type in arrays in TypeScript, like const fruits: any[] = [1, 2, 3].

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Dev

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Maximizing Software Quality and Accelerate Test Execution with Tosca Automated Testing

Tosca Automated Testing by Tricentis revolutionizes software testing with AI-powered automation and CI/CD integration.
It simplifies testing in agile and DevOps environments, enhancing software quality and release efficiency.
Key features include model-based automation, object recognition, and self-healing capabilities.
Tosca integrates seamlessly with CI/CD tools for continuous testing and defect detection early in development.
Performance testing features of Tosca assess scalability, system responsiveness, and load handling capabilities.
The tool offers end-to-end test coverage for web, mobile, APIs, and enterprise applications.
Best practices for Tosca include modular test design, AI-powered self-healing, and integration with DevOps pipelines.
Tosca enables organizations to minimize testing time, enhance software reliability, and reduce maintenance efforts.
By leveraging Tosca's capabilities, enterprises can focus on innovation and business growth while ensuring software quality.

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Medium

311

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When pixels lie: how Deepfakes are haunting teen life

Deepfakes have evolved from a distant sci-fi threat to a concerning reality in high schools, where AI-generated media is causing chaos among teenagers.
Popular tools like FaceMagic and Zao provide teens with easy access to face-swapping, voice-cloning, and video manipulation capabilities.
Teenagers now have the power to create realistic deepfakes that can easily damage someone's reputation or cause emotional harm.
The widespread accessibility of deepfake technology has shifted it from harmless theory to a weapon for humiliation and deception.
Platforms like YouTube and TikTok contribute to the spread of deepfakes by boosting content that garners clicks, leading to ethical concerns.
Legislation around deepfakes is still in its early stages, with some states having laws focusing on specific aspects like nudity or politics.
Victims of deepfakes, especially teens and women, report severe emotional trauma comparable to real-life harassment and bullying.
Efforts to combat deepfake misuse include promoting media literacy, implementing safeguards in tools, and seeking legal recourse when necessary.
Schools can play a crucial role in educating students about the risks and ethical considerations surrounding deepfake technology.
Ethical developers are called upon to enhance tools with features like watermarking and consent-based inputs to mitigate potential harm.
Deepfakes have the potential to amplify storytelling and creativity when used transparently, but misuse in low-stakes environments can have detrimental effects.

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Hackernoon

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Image Credit: Hackernoon

Rethinking Your Git Strategy? Trunk-Based Development May Be the Answer

Trunk-based development (TBD) offers a solution to the challenges of managing feature branches in large development teams, promoting faster feedback and better collaboration.
TBD involves integrating small increments directly into the main branch, relying on feature toggles to enable unfinished features safely.
By shifting focus from isolated delivery to continuous collaboration, TBD reduces integration risks and speeds up the development cycle.
Core principles of TBD include frequent integration, short feedback loops, feature toggles, an always-deployable main branch, and collaborative development.
TBD differs from GitFlow in terms of branching model, integration timing, release management, risk level, and developer workflow.
Short-lived branches and direct commits to the main branch are key practices in TBD to reduce the risks associated with large, long-lived feature branches.
Feature toggles play a crucial role in TBD, allowing for safe deployment of features and controlled feature visibility without disrupting users.
Continuous Integration (CI) and Continuous Deployment (CD) pipelines are essential in TBD to ensure every change is validated quickly and reliably.
Effective management of feature toggles is critical in TBD to avoid technical debt and maintain a clean codebase over time.
Transitioning to TBD requires a gradual shift, working with a review culture, minimizing feature branch lifespan, and effective automation and testing.

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Hackernoon

437

Image Credit: Hackernoon

This One Command Lets You Live-Edit UIKit Apps Like It's SwiftUI

When working on UIKit-based iOS projects, making quick UI adjustments while the app is running can be time-consuming.
You can leverage LLDB to update your app’s UI in real time while it runs in the iOS Simulator, particularly helpful for projects still built on UIKit.
The step-by-step guide involves setting up your code, pausing the app with a breakpoint, using LLDB to change the UI, and highlighting the importance of using the main thread for UI updates to avoid issues.
By using LLDB for real-time UI updates in UIKit projects, developers can improve productivity and debugging efficiency, especially in legacy or ongoing projects.

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Medium

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How to learn programming — the do’s and don’ts.

The article satirically discusses the 'do's and dont's' of learning programming in a sarcastic tone.
It discourages actual hands-on learning, suggesting viewers watch tutorials at accelerated speeds and take copious notes.
The article advises continuous tutorial watching and discourages individual coding without guidance.
It pokes fun at the idea of building projects, dismissing them as unnecessary in the learning process.
Using AI for planning projects and tasks is humorously suggested as a more convenient alternative to thinking.
The satirical piece criticizes focusing on one language, promoting chaos and confusion by learning multiple languages simultaneously.
Encouraging a copy-paste approach to coding, the article humorously suggests that mastery is achieved through duplication rather than understanding.
The piece mocks the reliance on external sources like Stack Overflow and GitHub instead of troubleshooting and understanding code independently.
It concludes by satirically outlining a 'masterplan' to become a programming legend without actual learning or understanding.
The article uses sarcasm to emphasize the ironic and inefficient methods some aspiring programmers might adopt in their learning journey.
In a humorous way, it highlights the importance of genuine learning, practical experience, and problem-solving instead of relying solely on shortcuts and external aids.

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