Computer Science and Programming
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Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python

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martinfama/fui: framebuffer user interface
fui is a C library designed for interacting with the framebuffer in a tty context. It allows for drawing on multiple layers, rendering text using bitmap fonts, and handling keyboard and mouse events with libevdev. The library includes a basic sound system and provides installation instructions along with sample examples.
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โœ… Hi everyone, from now on Computer Science is on WhatsApp too. Subscribe if you prefer reading news there ๐Ÿ‘‡๐Ÿป๐Ÿ‘‡๐Ÿป

https://whatsapp.com/channel/0029Vb6WuS94yltPj2RZuP11
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Tools I Use Every Day (June 2025 Edition)


A comprehensive overview of daily development tools used by a professional developer, covering code editors (JetBrains Rider, VS Code), collaboration platforms (GitHub, Teams, Slack, Discord), productivity apps (Notion, ChatGPT, Feedly), AI tools (LM Studio, Azure Local AI Foundry), and utilities (Windows Terminal, Postman, NordPass). Includes cost breakdown showing monthly expenses ranging from $50-100+ depending on licensing tiers, with many tools offering free alternatives. 
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The Curse of Microlearning
Microlearning, a method of delivering knowledge in concise formats like book summaries or fact-of-the-day apps, is critiqued for its ineffectiveness in providing deep understanding and valuable insights. This approach reduces complex concepts into simplistic bites, which can lead to uniformity in thought and diminish the appreciation for unique writing styles. For deep comprehension and engagement, longer, more detailed exploration of material is necessary.
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Blob shape with hover effect
Learn how to use the CSS-only shape() function to create a dynamic blob shape with a hover effect. The code is accessible via an online generator, but it currently works only in Chrome.

css-tip.com
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The AI Engineering Stack

AI engineering has emerged as a distinct discipline built on three layers: application development, model development, and infrastructure. Unlike traditional ML engineering which focuses on training custom models, AI engineering emphasizes adapting existing foundation models through prompt engineering and fine-tuning. The field requires less deep ML knowledge but more focus on evaluation, inference optimization, and building user interfaces. AI engineers work with larger, more compute-intensive models that produce open-ended outputs, making evaluation significantly more challenging. The role bridges software engineering and ML, with many practitioners coming from full-stack development backgrounds rather than traditional ML research. 
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Computer Science and Programming pinned ยซโœ… Hi everyone, from now on Computer Science is on WhatsApp too. Subscribe if you prefer reading news there ๐Ÿ‘‡๐Ÿป๐Ÿ‘‡๐Ÿป ‎https://whatsapp.com/channel/0029Vb6WuS94yltPj2RZuP11ยป
evroon/bracket: Selfhosted tournament system
Bracket is a self-hosted tournament system designed for easy use, leveraging async Python with FastAPI for the backend and Next.js with Mantine for the frontend. It supports various tournament formats such as single elimination, round-robin, and swiss, and allows for dynamic scheduling and management of tournaments and teams. The system can be run using Docker or independently with pipenv and yarn, and is configured using .env files or environment variables.
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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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Hello, Typesense
Typesense is presented as an approachable search engine that makes advanced search functionality accessible to developers. The introduction emphasizes how Typesense eliminates the confusion and frustration often associated with search tools, making developers feel capable rather than overwhelmed. A comprehensive 22-episode series covers everything from basic queries and setup to advanced features like semantic search, vector queries, and cloud deployment.
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