Computer Science and Programming - Channel Telegram

Computer Science and Programming

@computer_science_and_programming - Channel Telegram

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0 reviews
139.7K
Subscribers
Rank · of 2.108
11/07/26
Added

About Computer Science and Programming

Computer Science and Programming is a Telegram channel dedicated to Technology, with over 139k subscribers. Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ad... Join the channel to receive all updates directly on Telegram.

Original description

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

Subscriber history

-2.067 (-1,5%)

8 readings over 90 days · Peak: 141.723 (11/07/2026)

139.7K140.7K141.7K11/07/2609/10/26
Last 30 daily readings (8)
DateSubscribersChange
09/10/2026 139.656 -14
08/10/2026 139.670 -41
07/10/2026 139.711 -6
06/10/2026 139.717 -49
05/10/2026 139.766 -40
04/10/2026 139.806 +23
03/10/2026 139.783 -1.940
11/07/2026 141.723 —

Recent messages

Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇 👇 👇 👇 👇 WhatsApp Computer Science and Technology We welcome you all to be part of this family
19/09/26 14.3K
Lessons From Four Years of Writing a Weekly Newsletter A .NET blogger reflects on four years and 210 weekly issues of his newsletter, distilling four lessons: consistency beats brilliance, teaching accelerates learning, fundamentals (modular monoliths, domain-driven business rules, API contracts, idempotency, outbox pattern) outlast frameworks, and audience feedback sharpens thinking. He also shar
24/09/26 10.4K
The strangler fig pattern: modernizing without a big-bang rewrite A detailed guide to the strangler fig pattern for modernizing legacy systems capability by capability rather than through a big-bang rewrite. It covers how the facade layer routes traffic, the tradeoffs between dual writes and change data capture for data ownership during migration overlap, how to choose which capability to strangle
25/09/26 11.2K
Introduction to Solon A comprehensive tutorial walks through building a REST API with Solon, an independent enterprise Java framework, starting from a basic greeting endpoint and extending it into a task management API backed by H2 and MyBatis-Flex. It covers Solon's architecture, dependency injection, configuration layering, HTTP handling, and testing with solon-test, drawing comparisons to Sprin
26/09/26 11.4K
Chrome for Developers Chrome 146 introduces three notable features for web developers. Scroll-triggered animations enable declarative CSS-based control of animations based on scroll position, replacing common JavaScript-based scroll detection patterns. Scoped custom element registries allow multiple custom element definitions for the same tag name within a page, preventing naming conflicts when us
30/09/26 8.67K
Introducing G#: A Go-like language for .NET G# is a new open-source, Go-inspired programming language that compiles to .NET, targeting systems programming and mobile applications while interoperating with existing .NET libraries and NuGet packages. It supports .NET 8 through 10 (10 preferred), offers a VS Code extension with language server support, and blends .NET-style async/await with Go-like f
01/10/26 8K
BYD says it will have a solid-state car next year, the earliest date anyone has given BYD executive Stella Li claims the company will have a solid-state battery model next year, the earliest date any automaker has cited, though no model, sales plan, or confirmation was given. Toyota targets 2027-2028, Honda and Mercedes around 2030, and LG Energy Solution estimates roughly a decade away for cars.
03/10/26 6.45K
Dark mode toggles: two states are enough • Lea Verou (Light, Dark, System). The core argument is that users only seek out theme toggles when something is wrong — not to preemptively express intent — making the 'System' state irrelevant at the moment of interaction. Tri-state toggles expose the underlying data model rather than aligning with actual user goals, adding cognitive load and UI friction
08/10/26 1.72K

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