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
Show moreπ Analytical overview of Telegram channel Computer Science and Programming
Channel Computer Science and Programming (@computer_science_and_programming) in the English language segment is an active participant. Currently, the community unites 142 852 subscribers, ranking 816 in the Technologies & Applications category and 86 in the Italy region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 142 852 subscribers.
According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 294 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.30%. Within the first 24 hours after publication, content typically collects 1.83% reactions from the total number of subscribers.
- Post reach: On average, each post receives 7 568 views. Within the first day, a publication typically gains 2 612 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
- Thematic interests: Content is focused on key topics such as sellerflash, github, developer, pricing, waybienad.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βChannel 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...β
Thanks to the high frequency of updates (latest data received on 11 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
Forgejo v13.0 introduces content moderation tools allowing users and admins to report abusive content, enhanced security with improved 2FA enforcement and Actions secrets encryption, and better Actions usability with access to previous run attempts and static workflow validation. Additional features include Pagure repository migration, EXIF data removal from avatars, CI status display on force pushes, and improved markdown editor shortcuts. The release follows a three-month cycle with v11.0 receiving long-term support until July 2026.
Appwrite Sites now supports unlimited sites per project on the free plan, removing the previous one-site limitation that was in place during early access for stability testing. Developers can now deploy multiple test environments, staging sites, and production apps within a single project, with automatic handling of builds, SSL, DDoS protection, and CDN distribution. This update enables flexible workflows for managing everything from micro frontends to documentation pages without requiring plan upgrades.
A curated directory featuring over 200 open-source tools serves as an alternative discovery platform to commercial software. The directory integrates with GitHub to display real-time star counts, helping developers assess community adoption and tool popularity when building new technology stacks or replacing existing solutions.
Apple released Pico-Banana-400K, a dataset containing approximately 400,000 text-image-edit triplets for training text-guided image editing models. The dataset includes 257K single-turn examples, 56K preference learning samples, and 72K multi-turn conversations, covering 35 edit operations across 8 semantic categories. Built using Gemini-2.5-Flash for instruction generation and the Nano-Banana model for editing, each edit undergoes automated quality evaluation. Source images come from Open Images, with edits spanning object manipulation, scene composition, stylistic changes, and photometric adjustments. The dataset is available under CC BY-NC-ND 4.0 license for non-commercial research use.
Apache Flink is marketed as essential for real-time data processing, but it's overkill for 95% of use cases. Most real-time problems can be solved with simpler solutions: HTTP services with Postgres (65%), OLAP databases like ClickHouse (25%), or custom solutions (5%). Only about 5% of companies actually need Flink's complexity. The platform introduces massive operational overhead including new APIs to learn, additional infrastructure (Kafka, ZooKeeper/K8s), 700+ configuration parameters, complex observability requirements, and JVM dependency. Even Flink's creators acknowledge its limitations, and recent acquisitions of Flink-based companies suggest limited market traction. For most organizations under 100 developers, simpler alternatives like ClickHouse with SQL or native programming language Kafka consumers provide better cost-benefit tradeoffs without the engineering complexity.
Chrome 142 introduces three major CSS and web platform features: the :target-before and :target-after pseudo-classes for styling scroll markers relative to the active marker, range syntax support for style container queries and the if() function enabling numeric comparisons with operators, and the interestfor attribute for button and anchor elements that triggers actions when users show interest through hover, keyboard shortcuts, or long-press gestures.
Valkey 9.0 has been released, marking a major milestone for the Linux Foundation-backed Redis fork. The new version introduces significant performance improvements, with the capability to handle up to one billion requests per second. This key-value database continues to evolve as a popular alternative in the data storage ecosystem.
Redka is an open-source database that implements Redis commands on top of SQLite, providing Redis API compatibility with built-in persistence. It offers zero-configuration setup, ACID compliance, and lightweight deployment while maintaining compatibility with existing Redis clients. The project is ideal for development environments, small to medium applications, edge computing, and embedded systems where Redis functionality is needed with guaranteed data persistence.
Geocodio migrated their request logging system from MariaDB with deprecated TokuDB to ClickHouse Cloud after hitting performance issues at billions of monthly requests. The solution involved introducing Kafka for event streaming and Vector for batch processing, moving from individual row inserts to batched inserts of 30k-50k records. The migration strategy used feature flags to run both systems in parallel, enabling zero-downtime validation before fully switching over.
A founder shares their journey pivoting liquidcode from a collaborative coding platform to a competitive programming arena. After realizing users lacked motivation to solve challenges without incentives, they rebuilt 80% of the platform to enable head-to-head coding contests with coin-based entry fees, community voting, and trophy rankings. The new version aims to become a leading platform for discovering top developer talent through gamified competition.
Gleam v1.13.0 introduces formalized external APIs for JavaScript interop, allowing safer integration with external code through dedicated functions for constructing and accessing Gleam data types. The release includes significant compiler improvements: enhanced bit array exhaustiveness checking with interference-based pruning, unused argument detection in recursive functions, and better fault-tolerant analysis. The language server gains multiple new code actions including extract function, collapse nested cases, and pattern matching helpers. Additional improvements include better error messages for common syntax mistakes from other languages, dependency version change notifications, and enhanced type display in documentation.
Ovi is an open-source audio-video generation model that simultaneously creates synchronized 5-second videos and audio from text or text+image inputs. The 11B parameter model supports flexible resolutions (720Γ720 to 960Γ960), multiple aspect ratios, and includes a custom-trained 5B audio branch. It offers inference options for single or multi-GPU setups, includes memory optimization features like fp8 quantization and CPU offloading for 24GB GPUs, and provides integration with Gradio UI and ComfyUI. The model is based on research from Character AI and builds upon Wan2.2 for video and MMAudio for audio processing.
pdfly is a Python-based CLI tool for PDF manipulation, offering features like metadata display, page extraction and merging, document compression, image extraction, text extraction, and PDF signing. The newly released version 0.5.0 adds digital signature verification, annotated page extraction, and page rotation capabilities. Built on fpdf2 and pypdf libraries, it provides a comprehensive solution for common PDF operations through simple command-line interfaces.
Available now! Telegram Research 2025 β the year's key insights 
