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 142 841 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 814-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 142 841 obunachiga ega bo‘ldi.
11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 293 ga, so‘nggi 24 soatda esa -44 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.75% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
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- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 15 ta reaksiya keladi.
- 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 12 Iyun, 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.
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
LocalStorage poses security risks for storing JWT tokens due to XSS vulnerability and lack of browser security features. A safer approach uses access tokens stored in memory (lost on page refresh) combined with refresh tokens in secure HttpOnly cookies. This pattern reduces XSS attack surface, ensures session expiry on tab close, and leverages browser cookie security flags. Token rotation further enhances security by invalidating refresh tokens after each use.
JetBrains outlines the benefits of migrating from Cursor to IntelliJ IDEA, highlighting IntelliJ's native AI capabilities, out-of-the-box configuration, and enterprise-ready features. The guide covers how to import settings and recreate familiar workflows, positioning IntelliJ IDEA as a more scalable solution for both beginners and professional developers working on complex projects.
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