Computer Science and Programming
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
Ko'proq ko'rsatish📈 Telegram kanali Computer Science and Programming analitikasi
Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 140 565 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 804-o'rinni va Italiya mintaqasida 88-o'rinni egallagan.
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невідомо sanasidan buyon loyiha tez o‘sib, 140 565 obunachiga ega bo‘ldi.
29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -741 ga, so‘nggi 24 soatda esa -33 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
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- Jalb etish (ER): Auditoriya o‘rtacha 7.84% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.89% ini tashkil etuvchi reaksiyalarni to‘playdi.
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- Tematik yo‘nalishlar: Kontent sellerflash, github, developer, pricing, waybienad kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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_sc...”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Openness in data architecture refers to building sustainable and trustworthy systems through open-source and standardized formats. It promotes collaboration, avoids vendor lock-in, and maximizes the utility of open-source tools. Key components include data lakes, data warehouses, and orchestration, which support data management ecosystems like the data lakehouse and modern data stacks
This tutorial provides a structured guide to mastering prompt engineering with Claude, including nine chapters with exercises and an appendix of advanced methods. Users will learn to create optimal prompts, recognize common errors, and utilize areas like an Example Playground to experiment. The tutorial uses Claude 3 Haiku and recommends using the Google Sheets extension for convenience.
The post discusses emerging open data standards in the data world including Postgres, Open Telemetry (OTel), and Iceberg. These standards are underpinned by important open source tenets: OSI-approved licensing, the feasibility of self-hosting, and vendor neutrality. Postgres has become a standard due to its compatibility across platforms and non-ownership by any single entity. OTel is gaining traction among major cloud providers for its telemetry capabilities, while Iceberg is leading in OLAP standards. The emphasis is on achieving portability and interoperability, particularly with AWS's S3, enhancing data management and reducing vendor lock-in.
AI systems are actually more transparent than human intelligence when it comes to understanding their internal workings. While AI is often called a "black box," researchers can inspect every neural connection in open-source models, trace concept paths through networks, and determine input importance - capabilities far beyond what's possible with human brain analysis. Even closed-source AI models can be studied through controlled interrogation and distillation techniques. The human brain remains more opaque due to physical and ethical constraints on research, making AI the more interpretable intelligence despite popular perception.
A comprehensive collection of open-source tools tailored for designers and creative professionals to enhance their work.
AI coding tools like Claude Code enable developers to generate working code without reading it, but this practice leads to three critical issues: architectural decay, loss of domain knowledge, and security vulnerabilities. The author advocates for two responsible approaches: fast prototyping with post-session review for peripheral features, and synchronous pair-coding for core functionality. A comprehensive checklist covers architecture consistency, security scoping, meaningful tests, documentation, error handling, and performance considerations.
A web-based simulator that replicates Air Lab firmware functionality, allowing users to interact with virtual environmental sensors through different simulated environments. The simulator includes device controls, USB connectivity simulation, and menu navigation features, providing a hands-on experience without requiring physical hardware.
Analysis of Claude 4.0's system prompt reveals how Anthropic uses natural language instructions to program chatbot behavior. Key changes include removal of old hotfixes (now handled in training), encouragement of search functionality, expanded artifact use cases, context optimization for coding, and new cybersecurity guardrails. The 23,000-token system prompt consumes 11% of Claude's context window and demonstrates a user-driven development cycle where observed behaviors are first addressed through prompt modifications, then incorporated into model training.
The post explores the idea of combining the convenience of digital calendars with the flexibility and personal touch of paper calendars. It discusses the limitations of current digital calendar apps, which often lack personalization and flexibility, and the unique advantages of paper calendars. The goal is to create a 'sketchy calendar' that offers interconnected views, personalization, and dynamic functionality while maintaining a personalized, sketch-like quality.
Apple's new Liquid Glass design aesthetic for version 26 operating systems creates complex visual effects with light refraction, distortion, and frosted glass appearances. Web developers are recreating this look using CSS backdrop-filter, SVG filters like feDisplacementMap and feGaussianBlur, and React components. The technique involves multiple parameters including displacement scale, blur amount, saturation, and aberration intensity. However, implementing liquid glass effects raises significant text contrast accessibility concerns that developers must carefully address when placing text over unknown backgrounds.
A programmer shares his five-year experience of switching all devices to UTC instead of local time zones. The approach eliminates mental conversion overhead, provides consistency during travel, and simplifies scheduling for remote workers. While there are minor downsides like explaining the setup to others and converting 12-hour local times, the author found it significantly improved productivity and time management across global schedules
