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Hackaday

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Buyer Beware: Cheap Power Strips Hold Hidden Horrors

Harbor Freight's discount outlet strips have been found to have poor quality of contacts within each outlet, leading to intermittent ground connection issues.
The contacts for the hot and neutral also appear unreliable, and the wiring between the outlets is subpar.
While individual experiences may vary, it is recommended to be cautious when purchasing these outlet strips.
Higher-priced alternatives with better outlets are available, but buyers should exercise caution and conduct thorough research.

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Dev

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React API: Best Practices for Building Large-Scale Applications

This article provides insights into building large-scale React applications and the challenges developers may face in maintaining code organization in Single Page Apps.
It emphasizes the importance of detailed application planning at the initial stage to streamline development and facilitate team communication.
The article discusses best practices for visualizing app views and components, planning in-app actions and events, and managing data models and Redux integrations.
It delves into designing APIs, handling API calls efficiently using different patterns like Courier, and maintaining clean code in the Redux store.
The use of Redux Sagas for managing impure aspects of applications and dynamic UI practices, including soft loading with React Suspense and creating adaptive components, are also highlighted.
Methods like reducer injections and integrations with routing in Redux are explored to ensure scalability and efficient operation of large applications.
The article concludes by emphasizing the importance of comprehensive planning, smart component reusability, and utilizing tools like headless CMS to enhance productivity in React projects.

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PlanetPython

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Erik Marsja: How to Extract GPS Coordinates from a Photo: The USAID Mystery

In the digital world, photos store geolocation data like latitude and longitude if the device had GPS enabled.
The article demonstrates how to extract GPS coordinates from a photo using Python, focusing on a USAID nutrition pack.
Steps involved include setting up the Python environment, extracting EXIF data, and plotting the location on a map.
The Python libraries used are Pillow for image handling, ExifRead for reading metadata, and Folium for map plotting.
EXIF data, including GPSLatitude and GPSLongitude, is extracted to determine the photo's location.
Coordinates are converted from degrees-minutes-seconds to decimal degrees and adjusted based on hemisphere indicators.
The article guides in plotting the GPS coordinates on an interactive map using Folium in Python.
Readers are prompted to interpret whether the USAID nutrition pack should be in the extracted location.
By exploring the map, readers are encouraged to consider if the aid distribution aligns with the location shown.
Through a few lines of Python code, the article raises questions about the photo's true location and aid distribution.

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Dev

278

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Debounced Search with Client-side Filtering: A Lightweight Optimization for Large Lists

Rendering large datasets — like 1500+ city names in an autocomplete — can seriously affect performance.
Debounced client-side search can optimize the performance of rendering large datasets.
Debouncing delays a function’s execution until a certain time has passed since its last invocation.
Implementing debounced search can provide instant responsiveness, eliminate jank, and reduce CPU usage.

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Dev

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Awesome CSS shorthand tricks to write less code

The inset property is the shorthand property for top, right, left & bottom property.
The min() and max() functions are really useful for creating responsive CSS.
scale property is the shorthand property for transform: scale().
The :is() pseudo-class allows us to apply same style to multiple selectors by grouping them.

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Medium

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Creating artificial doubt significantly improves AI math accuracy

Microsoft's rStar-Math introduces innovations in mathematical reasoning for AI models.
The model focuses on code verification of each reasoning step to prevent unjustified leaps.
It also incorporates a preference model to evaluate intermediate thinking.
The system improves over time through multiple rounds of self-training.

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Dev

234

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Red vs Blue vs Purple: The Colorful World of Cybersecurity

Blue Team: The Defenders - They are responsible for protecting systems, data, and infrastructure from malicious actors. They monitor network traffic, patch vulnerabilities, and respond to security incidents.
Red Team: The Attackers (But Friendly!) - They simulate real-world cyberattacks to find weaknesses in defenses. They perform penetration testing, social engineering, and physical security testing.
Purple Team: The Bridge Builders - They facilitate communication between the Red and Blue teams, analyzing findings, automating detection and response, and ensuring knowledge transfer.
The Purple Team model fosters collaboration and continuous improvement in cybersecurity, where weaknesses are exposed, lessons are learned, and security posture improves over time.

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Dev

256

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npm vs npx, which one is better?

npm and npx serve different purposes in JavaScript development, with npm focusing on package installation and management, while npx is about running packages without global installation.
npm, short for Node Package Manager, is used for managing packages and libraries in projects, with a wide range of powerful packages available on npmjs website.
In contrast, npx, a tool that came with npm v5.2.0, allows running commands from packages without the need for global installation in the system.
Using npm, packages are added to the node_modules folder and recorded in the package.json file, while npx is more focused on running commands as-needed without cluttering the system.
npx simplifies running specific package versions on the fly, avoiding the need for manual upgrades or downgrades compared to globally installed packages.
npm is suitable for managing project dependencies and global installations, whereas npx is preferred for running CLI commands without global installation and for specifying package versions.
Understanding the differences between npm vs npx is crucial for efficient JavaScript development and project management.
Ultimately, the choice between npm and npx depends on the specific workflow needs of the developer, with both tools offering unique advantages for different scenarios.
npx was created to improve user-friendliness by avoiding unnecessary global installations, enabling running specific package versions, and simplifying the execution of command-line tools.
Both npm and npx play important roles in modern JavaScript development, with npm handling package management and npx facilitating efficient command execution without global clutter.

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Dev

409

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Getting started with local AI development using Docker Model Runner

Docker Model Runner is a tool designed to make running Large Language Models (LLMs) locally easier.
It runs LLMs directly on the local machine and uses Docker to wrap a convenient API interface around it.
Model Runner is currently in beta and works only on Docker Desktop for Mac with Apple Silicon.
It is useful for prototyping AI features, keeping data private, learning and experimenting with LLMs, and building offline-ready apps.

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Medium

378

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Brute Force Algorithm: The Old School Powerhouse of Problem Solving

Brute force algorithm systematically explores every possible solution without optimization.
It generates all possible options, tests every option, and stops when the correct one is found.
While brute force guarantees a solution, it can be slow for problems with a large solution space.
Brute force is a common starting point for programmers to understand problem structures before optimization.

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Medium

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5 Hot-Takes for Data Engineers

Don't prioritize collecting badges and certificates over practical skills and experience.
Stay updated with the changing data ecosystem and understand underlying trends.
Focus on clear communication and the ability to explain solutions to non-technical stakeholders.
Invest in documentation and naming conventions for efficient collaboration.

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Dev

361

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Unlocking the V8 Engine: Why Your JavaScript is Faster Than You Think

V8, Google’s high-performance JavaScript engine, powers browsers like Chrome and backend runtimes like Node.js.
V8 has four core components: Parser, Ignition (Interpreter), TurboFan (Optimizing Compiler), and Garbage Collector.
The execution pipeline in V8 involves parsing code into AST, compiling it into bytecode, optimizing it with TurboFan, and deoptimizing if assumptions fail.
V8 uses JIT compilation, speculation and assumptions, profiling-guided optimization, and on-stack replacement to improve performance.

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Dev

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Unpacking the MCP Base Protocol

The Model Context Protocol (MCP) base protocol, rooted in JSON-RPC 2.0, is crucial for reliable client-server communication in apps.
The base protocol, as of the latest spec, offers modularity, allowing optional features to be added based on app requirements.
It emphasizes separation of concerns, handling core messaging while enabling additional functionalities to be integrated as needed.
Core message types within the MCP include requests, responses, and notifications, each following JSON-RPC 2.0 guidelines.
Requests initiate actions, responses deliver results or errors, and notifications provide one-way updates.
Batching messages for efficiency and defining transports like stdio and Streamable HTTP are key aspects of the MCP base protocol.
Lifecycle management ensures proper initialization, operation, and shutdown of MCP connections.
Authorization features, including OAuth 2.1 support, provide security options for locking down MCP interactions.
The MCP base protocol's TypeScript schema serves as a precise reference, ensuring implementation alignment with the specification.
Developer-friendly and lightweight, the MCP base protocol offers flexibility and modularity, making it an attractive choice for various projects.

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Dev

127

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How I got 3 offers in 1 month

The author shares their experience of getting 3 job offers in 1 month in the tech industry.
They recommend keeping the resume simple and using a Chrome extension to customize it for every application.
The author advises applying to 50 jobs a day on LinkedIn, tailored with the extension mentioned.
They also suggest using InterviewCoder or similar platforms to help with knowledge gaps during the interview stage.

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Amazon

322

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Converting embedded SQL in Java applications with Amazon Q Developer

Migrating from Oracle to open source databases like PostgreSQL often involves converting embedded SQL in Java apps, a time-consuming and error-prone task.
AWS offers a solution using Amazon Q Developer and AWS DMS, automating SQL conversion in Java apps for database migration.
Amazon Q Developer, powered by AI, identifies and converts SQL statements from Oracle to PostgreSQL dialects, reducing manual effort.
This automation speeds up the process significantly, minimizes errors, and allows developers to focus on higher-value tasks.
When combined with AWS DMS for schema conversion and data replication, this automated solution streamlines the entire migration workflow.
The solution ensures consistency across the codebase, simplifies technical aspects of migration, and aligns with organizational efficiency goals.
The conversion process is exemplified by transforming Oracle-specific SQL queries from Java classes to PostgreSQL-compatible queries.
The end-to-end testing after conversion involves updating database connection settings, executing test suites, and monitoring for errors.
The approach of automated SQL conversion with Amazon Q Developer offers reduced migration time, improved accuracy, cost savings, and seamless integration.
Authors like Suruchi Saxena, Jason Varghese, and Venugopalan Vasudevan contribute expertise in Generative AI, DevOps, cloud migrations, and solutions architecture.
The collaboration of AI-driven tools like Amazon Q Developer with AWS services enhances database migration efficiency and accuracy.

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