Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
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 142 819 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 815-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 142 819 obunachiga ega bo‘ldi.
12 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 -25 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.74% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 8 196 marta ko‘riladi; birinchi sutkada odatda 2 581 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 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 13 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.
TLDR Netflix uses Java to manage a complex backend that streams 250 million hours of content daily. They transitioned from a monolithic architecture to microservices, leveraging Java for its concurrency, scalability, and rich ecosystem. Influential tools developed by Netflix include Eureka for service discovery and Hystrix for fault tolerance, which are integrated with Java to optimize performance and reliability across their AWS platform. Their approach and contributions have significantly impacted modern backend systems.🔗 https://amigoscode.com/blogs/how-netflix-uses-java-to-stream-to-200m-users
TLDR llm-ui is a React library that provides UI components for integrating Large Language Models into web applications. It works universally with any LLM model by operating on the model's output string, supporting popular services like ChatGPT, Claude, Ollama, Mistral, Hugging Face, and LangChain. The library aims to simplify the process of displaying LLM responses in React-based user interfaces.🔗 https://llm-ui.com/
TLDR MinIO offers an open-source, high-performance alternative to AWS S3 for object storage, ideal for indie developers and small teams due to its cost-effective scalability and flexibility. With features like bucket organization, IAM policies, event hooks, and multi-platform hosting options, MinIO can operate across local machines, Docker, Kubernetes, and cloud VMs. While it eliminates vendor lock-in and incurs no direct usage fees, MinIO does require responsible management of infrastructure for backups and high availability.🔗 https://devjournal.info/minio-aws-s3-but-free-and-open-source/
TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.💻 https://github.com/bytedance/MegaTTS3
TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.🔗 https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch
