Computer Science and Programming
156K subscribers
446 photos
32 videos
37 files
740 links
Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python

Admin: @otchebuch

Memes: @memes_programming

Ads: @Source_Ads,
https://telega.io/c/computer_science
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Neodrag: One draggable to rule them all
Neodrag is a multi-framework JavaScript library that provides drag-and-drop functionality across React, Svelte, Vue, SolidJS, and vanilla JavaScript. It features a small bundle size (3.46KB), server-side rendering compatibility, TypeScript support, and consistent behavior across all supported frameworks through shared core logic.
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Zyedidia/Literate: A literate programming tool for any language

Literate is a modern literate programming tool that allows developers to write programs as narrative documents with embedded code blocks. It supports any programming language, uses Markdown syntax for easy readability, generates both executable code and HTML documentation, and includes features like syntax highlighting, error reporting, and automatic hyperlink generation between code sections.
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Using LLMs to generate user-defined real-time data visualizations
Developers are increasingly using Tinybird to track LLM usage, costs, and performance in AI applications. A new app template called the LLM Performance Tracker allows users to generate real-time data visualizations. The core components include a Tinybird datasource, a Tinybird pipe, a React component, and an AI API route. The backend processes user input to generate chart parameters, while the frontend visualizes the data. This approach emphasizes the importance of performant analytics backends and cautious LLM usage for secure and scalable data visualization.
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Full-Stack React.js Chat with AI SDK
Learn how to build a full-stack React.js chat application using Vercel's AI SDK. This tutorial simplifies the process of creating chat UIs by abstracting complex tasks such as decoding text streams and managing state. It provides step-by-step instructions on installing and configuring the AI SDK, replacing manual API routes with streamlined one-liners, and using the useChat hook for front-end development. Enhance your coding efficiency and maintainability while keeping all essential functionalities intact.
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Frontend Isn't Just UI

Frontend engineering goes beyond styling buttons and layouts; it involves building systems that serve human experiences. Key aspects include data flow, state models, component architecture, user experience flow, and accessibility. It combines design with logic to create scalable and user-friendly products.
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Essential Machine Learning Concepts Animated
Understanding AI and machine learning is essential for developers. This visually engaging course on freeCodeCamp.org's YouTube channel by Vladimirs from Turing Time Machine simplifies over 100 core ML and AI concepts with animations and real-world analogies. It covers foundational terms, statistical methods, optimization techniques, evaluation metrics, various model types, practical workflow elements, and related disciplines like NLP and object detection.
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An open source alternative to Heroku
Canine is an open source deployment platform designed as a cost-effective alternative to Heroku. It offers GitHub integration, one-click deployments, automatic SSL certificate management, and Kubernetes simplification. The platform supports over 200 cloud providers to avoid vendor lock-in, includes autoscaling capabilities, and can deploy over 10,000 open source projects at no additional cost. Users can either self-host Canine or use the hosted version, with the core platform being free and open source.
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SOLID Design Principles Every JavaScript Deveveloper Should Know

SOLID principles are five essential design rules that help JavaScript developers write cleaner, maintainable code. The guide covers Single Responsibility (one function per purpose), Open/Closed (extend without modifying), Liskov Substitution (subclasses must be replaceable), Interface Segregation (avoid bloated interfaces), and Dependency Inversion (depend on abstractions). Each principle includes practical JavaScript examples showing violations and proper implementations, plus real-world applications and common interview questions.
Build an AI Assistant with LangGraph, Vercel, and Next.js: Use Gmail as a Tool Securely
Learn how to build a personal AI assistant using LangGraph, Vercel AI SDK, and Next.js. This guide walks through integrating various tools such as Gmail, Google Calendar, and Google Drive securely by leveraging Auth0 for authentication and token management. The tutorial covers both unauthenticated tools like calculators and authenticated tools for accessing personal data, exemplified by implementing a Gmail search and draft feature.
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