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
نمایش بیشتر📈 تحلیل کانال تلگرام Computer Science and Programming
کانال Computer Science and Programming (@computer_science_and_programming) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 140 524 مشترک است و جایگاه 804 را در دسته فناوری و برنامهها و رتبه 88 را در منطقه ايطاليا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 140 524 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 29 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -741 و در ۲۴ ساعت گذشته برابر -33 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.84% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.89% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 11 021 بازدید دریافت میکند. در اولین روز معمولاً 2 656 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 14 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, github, developer, pricing, waybienad تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 30 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
A developer shares their journey from confusion to understanding Docker and Kubernetes by focusing on practical problems rather than technical jargon. Docker is explained as a way to package applications with their dependencies into portable containers, while Kubernetes is presented as a system for managing multiple containers in coordination. The author emphasizes learning through hands-on experience with simple projects, starting with single containers and gradually building up to multi-container systems with deployments and services.medium.com
A developer transformed an old iPhone 8 into a solar-powered OCR server using Apple's Vision framework, processing over 83,000 requests and 48GB of images in one year. The setup combines an EcoFlow River 2 Pro power station with solar panels to run completely off-grid, saving $84-120 CAD annually while maintaining 76% battery health. The project demonstrates local-first computing, privacy benefits, and practical renewable energy applications for small-scale server workloads.https://terminalbytes.com/iphone-8-solar-powered-vision-ocr-server/
A developer trained a YOLO machine learning model to count yurts across Mongolia using satellite imagery from Google Maps. The project involved manually labeling over 10,000 yurts as training data, optimizing the search area using geographic data, and deploying the model across 120 Docker containers using Docker Swarm. The final count revealed 172,689 yurts throughout the country, with most concentrated in urban ger districts around Ulaanbaatar where rural migrants have settled@computer_science_and_programming
Try out Clickbait Shield for free (5 uses left this month). A developer shares their weekend project of building a complete compiler from scratch, creating a simplified BASIC variant called toybasic that transpiles to Go code. The implementation uses three stages: a lexer built with nex for tokenization, a parser using goyacc for syntax tree generation, and a custom Go compiler that walks the tree to generate equivalent Go code. The project demonstrates practical compiler construction using modern tools while working with a simple but complete programming language@computer_science_and_programming
The post provides a comprehensive guide on GPT-4.1 prompting using the OpenAI API. It includes open-source examples, advanced techniques, and detailed walkthroughs, empowering developers to efficiently utilize GPT-4.1 capabilities. The guide also encourages sharing your own examples and insights for further learning.@computer_science_and_programming
Anime.js is a versatile JavaScript animation library offering several features, including rotating objects, creating motion paths, and animating SVG paths. Users can create timelines, apply staggered animations, and make elements draggable with customizable easing options. The library also supports advanced configurations like spring physics and media query-based animations.https://animejs.com/?ref=dailydev
A comprehensive handbook covering fundamental data structures and algorithms concepts through visual explanations and code examples. Topics include arrays, hash tables, two pointers technique, sliding window, stacks, binary search, linked lists, trees, heaps, and backtracking. Each concept is explained with practical implementations in JavaScript, TypeScript, and Python, along with time and space complexity analysis. The guide emphasizes understanding core principles rather than memorizing specific problem solutions.@computer_science_and_programming
Spring Vault 4.0.0-M1 milestone release is now available, bringing updates to the Spring integration library for HashiCorp Vault. This milestone version provides developers with early access to new features and improvements for managing secrets and security configurations in Spring applications.Spring.io
Darklang has transitioned from a source-available to fully open source model under Apache License 2.0 as part of restructuring from Dark Inc. to Darklang Inc. The decision was driven by user feedback, evolution toward local-first development with CLI support, and new business opportunities in developer tools. The platform now supports both cloud deployment and self-hosting while maintaining its core features like invisible infrastructure and trace-driven developmenthttps://api.daily.dev/r/z6afZQaCY
GitLab and GitHub are leading Git-hosting platforms with distinctive features. GitLab offers a fully integrated DevOps platform including CI/CD, security scanning, and infrastructure management out of the box, making it ideal for enterprises. GitHub, best known for its code hosting and collaboration capabilities, relies on third-party tools for extensive DevOps functionalities but excels in ease of use, community support, and integrations. Both platforms support AI-powered coding assistants, but GitLab's additional security and compliance features provide an edge for large organizations.
Claude 4: You better stop coding nowClaude 4, recently released by Anthropic, is a powerful AI model designed for advanced coding tasks, offering two versions: Sonnet 4 and Opus 4. The model excels in agentic mastery, multimodal tool integration, and efficient coding without hallucinations, setting itself apart from competitors like Gemini and GPT. With features catering to structured workflows and native tool integration, Claude 4 is poised to become a preferred choice for developers.
TLDR Astro 5.8 has been released, requiring Node.js version 20.3.0 or higher, as Node.js 18 has reached end-of-life. While Astro will temporarily support Node.js 18.20.8, it's recommended to upgrade to Node.js 22 soon. Bug fixes are addressed and a CLI tool is available for easy upgrades.🔗 https://astro.build/blog/astro-580
TLDR Podman and Docker are two leading container platforms offering distinct features. Podman, developed by Red Hat, operates daemonless and supports rootless containers, enhancing security and system integration. Docker, highly popular for its ease of use, operates on a daemon-based architecture and has a rich ecosystem with broad third-party support. Both tools use OCI-compliant images allowing interoperability. While Docker's Swarm mode facilitates orchestration, Podman's design aligns closely with Kubernetes. Each tool is suitable for different use cases, with Podman excelling in secure, system-integrated environments and Docker being ideal for general development workflows.🔗 https://spacelift.io/blog/podman-vs-docker
