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FastOpenAPI: A Reason to Believe in Open Source Community

FastOpenAPI is a library designed to simplify working with OpenAPI schemas and integrating them with various Python frameworks.
FastOpenAPI acts as a universal layer providing consistent creation and validation of OpenAPI schemas across multiple frameworks.
The release of version 0.5.0 featured integration with AioHTTP, class-level schema caching, improved error handling, and support for simple data types as response models.
Future releases will focus on simplifying the API, enhancing performance, and expanding framework support, while continuous documentation improvements will remain a priority.

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Dev

287

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LangChain vs LangGraph: The Epic Showdown You Didn't Know You Needed

LangChain and LangGraph are two heavyweight frameworks in the world of language models, each with its strengths and applications.
LangChain is known as the Swiss Army Knife of Language Models, versatile for building applications with large language models.
LangChain is ideal for tasks like building chatbots, question answering systems, text summarization, and code analysis.
Pros of LangChain include flexibility, great for sequential tasks, and extensive documentation, while cons include being overwhelming for beginners.
LangGraph, built on LangChain, focuses on graph-based interactions and is suited for complex workflows, multi-agent systems, decision trees, and interactive storytelling.
LangGraph's pros include being perfect for non-linear tasks and visually representing complex interactions, while cons include a steeper learning curve.
In the showdown between LangChain and LangGraph, the choice depends on factors like ease of use, flexibility, and specific use cases.
LangGraph shines in complex decision-making tasks, while LangChain is preferred for straightforward, sequential tasks.
Users can leverage the strengths of both frameworks as LangGraph is built on top of LangChain, allowing for a hybrid approach when needed.
The best tool is the one that suits your project needs, whether it's LangChain, LangGraph, or a combination of both.
Ultimately, the goal is to have fun and experiment with these frameworks while focusing on what works best for your team and project requirements.

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Dev

401

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🚀 Introducing Qastra — A Curiosity-Driven Q&A Platform

Qastra is a new-age Q&A platform focused on questions, answers, and growth.
It promotes clear questions, thoughtful answers, and respectful conversations.
Features include posting questions, answering, searching & exploring, user identity system, and community guidelines.
Qastra stands out by emphasizing clarity, community safety, and inclusivity.

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Medium

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C# Output: How to Talk to the Console (Properly)

Console.WriteLine() and Console.Write() are used in C# to communicate with the user.
Mastering output formatting is important for writing better and cleaner code.
String interpolation is a cleaner and more preferred method for outputting variables.
Displaying output in the console is an essential part of C# programming.

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Logrocket

270

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5 best open source tools for cross-browser CSS testing

Different browsers interpret CSS differently due to using unique rendering engines, leading to inconsistencies in layout, spacing, and animations.
Cross-browser testing is crucial to ensure a consistent user experience across different browsers.
Five open source tools for CSS compatibility testing are Playwright, Selenium WebDriver, PostCSS + Stylelint, BrowserStack, and BackstopJS.
Playwright automates browser interactions across Chromium, WebKit, and Firefox, providing features like screenshot comparisons and visual regression tests.
Selenium WebDriver allows for automation of interactions with major browsers, supporting cross-browser testing and UI automation.
PostCSS + Stylelint work together to maintain clean, error-free CSS by automating vendor prefix additions and enforcing styling standards.
BrowserStack offers real browser and device testing, automated testing, visual regression testing, and accessibility compliance features.
BackstopJS detects visual differences by comparing screenshots before and after changes, aiding in preventing unintended CSS regressions.
Consider factors like automation level, supported browsers, ease of integration, and performance when selecting a cross-browser testing tool.
Each tool, such as Playwright, Selenium WebDriver, PostCSS + Stylelint, BrowserStack, and BackstopJS, has specific strengths for different testing needs.

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Logrocket

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How to handle data fetching with React Suspense

React Suspense simplifies data fetching in React applications by allowing components to pause rendering until certain conditions are met, such as data availability.
It integrates efficiently with concurrent rendering in React v18+, aiding in async tasks like data fetching and lazy loading without manual state management.
React Suspense helps in synchronizing loading states across components, providing a seamless user experience while waiting for async data.
It does not replace data-fetching libraries but enhances UI rendering during asynchronous operations like network requests.
React Suspense allows easy implementation of alternative UI during data loading.
React 18 and 19 updates improve React Suspense by adding native support for data fetching, error handling, and server component integration.
Different data fetching patterns in React include fetch-on-render, fetch-then-render, and render-as-you-fetch with React Suspense.
The combination of React Query and React Suspense offers efficient data fetching and state management in React applications.
Using React lazy() with React Suspense helps optimize initial bundle size and improve user experience by loading components dynamically.
Error handling in React Suspense involves using error boundaries to gracefully manage failed Promise states and provide a fallback UI.

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Dev

388

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Git Hooks — The Developer's Silent Sidekick

Git hooks are executable scripts that Git runs before or after certain events like commits, pushes, merges, and more.
They automate tasks like linting code before committing, enforcing commit message discipline, running tests before push, and syncing after merging.
Other Git hooks include applypatch-msg, pre-applypatch, post-applypatch, prepare-commit-msg, post-commit, pre-rebase, pre-merge-commit, pre-auto-gc, and post-rewrite.
To share hooks across teams, options like Husky and Lefthook can be used.

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Dev

295

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Documentation That Builds Itself with Sphinx + Read the Docs

With the latest update to Greening, the documentation now automatically builds itself for projects.
The update includes a complete Sphinx documentation setup with a wired docs/ directory and a smart conf.py configuration.
Automatic API reference generation is also included, which scans the codebase and utilizes the Read the Docs theme.
The process is driven by the greening.yaml file, eliminating the need for manual setup.

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Dev

109

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Analysis of Key Technical Principles for a Visual Drag-and-Drop Component Library - 4

The fourth article in the visual drag-and-drop series covers fewer features, focusing on SVG components, dynamic attribute panel, data sources, component linkage, and component loading on demand.
SVG components in the project support free resizing, implemented using SVG solutions for irregular shapes like a five-pointed star.
Drawing a five-pointed star with SVG involves defining the shape using coordinate points and ensuring proportional resizing.
Dynamic attribute panel customization allows for adapting attribute panels to different custom components dynamically.
Data sources are handled with a common attribute component for API requests; enabling dynamic content loading.
Component linkage enables one component to trigger events that affect another component's properties based on predefined rules.
Event monitoring and triggering are achieved through event bus subscriptions and emissions for handling component interactions.
Component loading on demand involves extraction, packaging components into separate files, and dynamically loading them based on requirements.
Other optimizations include image mirroring using canvas, real-time component list display, and small user experience improvements.
The article concludes with a reflection on the project's popularity and expresses gratitude for the support and engagement.

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Dev

304

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The Future of AngularJS: What to Expect in the Next Few Years

AngularJS, created by Google in 2010, remains popular for web development despite the release of newer frameworks.
AngularJS brought concepts like two-way data binding and modularity, making it a preferred choice for dynamic websites.
Angular replaced AngularJS and offers speed and scalability, but many businesses still rely on AngularJS for legacy support.
Transition from AngularJS to Angular requires significant code changes and resource commitment.
AngularJS remains relevant for businesses with existing applications and limited resources for migration.
AngularJS Development Services are essential for optimizing and maintaining applications built on AngularJS.
Hiring AngularJS developers with JavaScript, TypeScript, and front-end framework skills is crucial for system maintenance and potential migration.
Google will provide long-term support for AngularJS until 2022, affecting the transition to newer frameworks.
AngularJS developers play a key role in maintaining stability, enhancing functionality, and guiding future technology transitions.
AngularJS's cost efficiency, scalability, and ongoing community support contribute to its continued competitiveness in web development.

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Medium

143

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Ng-News 25/15: Native Observables

Native Observables have landed in Chrome 135 with differences from RxJS Observables.
Native Observables are shared by default and do not replay past values.
Operators like map() or filter() are methods directly on the Observable instance.
Some operators return Promises instead of Observables.

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Medium

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Unlock CHATGPT’s Full Potential: Here’s why you have been using it WRONG!!!

The quality of response from ChatGPT depends on the quality of prompt.
Providing clear and self-explanatory prompts yields better and more relevant responses.
Specify the direction you want in the response to get desired answers.
By asking better questions, giving context, and treating it like a creative assistant, users can enhance their experience with ChatGPT.

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4 Likes

Medium

274

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The Future of Web3: Why Blockchain is Reshaping the Internet

Web3 is the next evolution of the internet, moving from centralized control to a decentralized model.
Blockchain technology is the key to achieving Web3 and empowering individuals to own their data and online presence.
The demand for Web3 developers is increasing, offering big opportunities to be part of a technological revolution.
Learning Web3 technologies, such as Solidity for smart contracts, can be a starting point for developers.

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Medium

367

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Hammock-Driven Development Meets Vibe Coding: Planning for the Future of Human-AI Software…

AI assistants like Cursor, Windsurf, Aider, and Codex are transforming software development by bridging the gap between human ideas and AI implementation.
Hammock-Driven Development and Vibe Coding merge to create a new framework where human creativity is enhanced by AI, emphasizing deep thinking and collaboration.
Hammock Development by Rich Hickey focuses on deep reflection before coding, utilizing both waking and background minds for better understanding.
Vibe Coding promotes a state of flow and collaboration with AI, treating coding as a dance between human intuition and AI suggestions.
The future of development may shift from text-based to more visual approaches, focusing on architecture, system diagrams, and collaboration around models.
Integrated approaches like Hammock Time, Vibe Rules, and AI-Assisted Execution blend deep thinking, product design, and AI implementation in creating software.
The combination of Hammock Development and Vibe Coding emphasizes deep thinking preceding action, followed by flow-based implementation and continuous refinement.
Junior developers may face challenges in learning with AI handling implementations; however, tools and approaches will evolve to free up creativity for higher-order concerns.
Future development environments must provide transparency and visibility into code context to enable effective human-AI collaboration and creativity.
The future of software development underscores the importance of clear problem-solving, design principles, and collaboration with AI for innovation.
Junior developers need to focus on design principles, creativity, and collaborative skills, as AI assists in implementation, shifting the focus from syntax to systems thinking.

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PlanetPython

376

death and gravity: Process��Thread��Pool��Executor: when I��/��O becomes CPU-bound

When doing I/O bound tasks in parallel, increasing the number of threads in ThreadPoolExecutor may not always result in faster performance, as CPU utilization can become a bottleneck.
Using ProcessPoolExecutor can be an alternative, but it may use more memory and not always provide significant performance gains.
The article introduces the concept of a ProcessThreadPoolExecutor that spreads work transparently across processes and threads to maximize performance.
By implementing a custom executor that combines ProcessPoolExecutor and ThreadPoolExecutor, the article demonstrates improved performance with better utilization of resources.
The ProcessThreadPoolExecutor efficiently handles work distribution across processes and threads, offering a balance between performance and memory usage.
The article also discusses the challenges of handling process failures and ensuring proper cleanup of resources in a multi-process, multi-threaded environment.
The experimental free threading support in Python 3.13 shows promising performance improvements without the complexities involved in custom executor implementations.
Overall, the article presents practical solutions for optimizing CPU-bound workloads by intelligently utilizing processes and threads to achieve better performance.
The ProcessThreadPoolExecutor design showcased in the article offers a valuable approach to addressing performance bottlenecks in CPU-bound tasks.
By combining the benefits of process-based parallelism with thread-based concurrency, the custom executor provides a flexible and efficient solution for workload optimization.
The article highlights the importance of balancing CPU utilization, memory usage, and handling process failures when optimizing parallel processing tasks for enhanced performance.

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