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Computer Science and Programming

Computer Science and Programming

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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

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📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@computer_science_and_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 142 852 suscriptores, ocupando la posición 816 en la categoría Tecnologías y Aplicaciones y el puesto 86 en la región Italia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 142 852 suscriptores.

Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -1 294, y en las últimas 24 horas de 4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.30%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.83% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 7 568 visualizaciones. En el primer día suele acumular 2 612 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
  • Intereses temáticos: El contenido se centra en temas clave como sellerflash, github, developer, pricing, waybienad.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
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...

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 11 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

142 852
Suscriptores
+424 horas
-1717 días
-1 29430 días
Archivo de publicaciones
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Stop Using TypeScript's Exclamation Mark The non-null assertion operator (!) in TypeScript bypasses type safety by forcing th
Stop Using TypeScript's Exclamation Mark
The non-null assertion operator (!) in TypeScript bypasses type safety by forcing the compiler to treat potentially nullable values as non-null, leading to runtime crashes. Instead of using this operator, developers should employ safer alternatives: optional chaining for nested property access, nullish coalescing for default values, conditional operators for explicit branching, type guards for reusable validation, and assertion functions for enforcing invariants. These approaches maintain type safety while handling null and undefined values appropriately, following fail-fast principles and preventing silent failures.

Postgres 18 New Default for Data Checksums and... Postgres 18 now enables data checksums by default during database initializ
Postgres 18 New Default for Data Checksums and...
Postgres 18 now enables data checksums by default during database initialization, providing automatic protection against silent data corruption. Data checksums work by calculating and storing a digital fingerprint for each 8KB data page, then verifying it on read to detect corruption. While this improves data integrity out-of-the-box, it creates a compatibility challenge for pg_upgrade users: both old and new clusters must have matching checksum settings. Existing databases without checksums can either use the new --no-data-checksums flag during upgrade initialization, or preferably enable checksums beforehand using the pg_checksums utility (though this requires downtime).

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Technical Deflation AI is making software development progressively easier and cheaper, creating a "technical deflation" effe
Technical Deflation
AI is making software development progressively easier and cheaper, creating a "technical deflation" effect where startups may delay building features expecting future tools will make development even simpler. This phenomenon gives late-movers an advantage, as companies starting 6-12 months later can build the same functionality with less effort and complexity. The trend suggests startups should focus more on distribution, customer understanding, and sales rather than pure technical execution, since the building itself is becoming commoditized. The rapid pace of AI improvement means timing and strategic patience may matter more than being first to market.

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Deno 2.6: dx is the new npx Deno 2.6 introduces dx, a new command for running package binaries similar to npx. The release ad
Deno 2.6: dx is the new npx
Deno 2.6 introduces dx, a new command for running package binaries similar to npx. The release adds granular permission controls with --ignore-read and --ignore-env flags, integrates tsgo for faster type checking, and supports source phase imports for WebAssembly. New features include deno audit for security vulnerability scanning, --require flag for CommonJS preloading, and improved dependency management with deno approve-scripts. The release enhances Node.js compatibility with @types/node included by default, numerous API fixes across crypto, fs, process, and sqlite modules, and better bundler support for different platforms. Additional improvements include transferable web streams, native source map support, and V8 14.2 upgrade.

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Gist of Go: Concurrency is out! An interactive book on concurrent programming in Go has been released, covering goroutines, c
Gist of Go: Concurrency is out!
An interactive book on concurrent programming in Go has been released, covering goroutines, channels, select statements, pipelines, synchronization, race prevention, time handling, signaling, atomicity, testing, and concurrency internals. The book features clear explanations with interactive examples and auto-tested exercises for hands-on practice, suitable for both beginners learning concurrency and developers looking to advance beyond basics.

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Use Python for Scripting! Python 3 offers significant advantages over shell scripts for automation tasks, particularly for cr
Use Python for Scripting!
Python 3 offers significant advantages over shell scripts for automation tasks, particularly for cross-platform compatibility. While Bash scripts often fail between Linux and Mac due to GNU vs BSD tool differences, Python's standardized library works consistently across systems. Python provides better readability with human-readable method names, a comprehensive standard library covering JSON, HTTP, and data structures, and is pre-installed on most machines. The article demonstrates practical examples comparing Bash's cryptic syntax with Python's clearer alternatives, recommending Python for scripts that grow beyond 10-20 lines or become difficult to maintain.

Next.js 16.1 Next.js 16.1 brings Turbopack file system caching to development mode by default, delivering up to 14× faster co
Next.js 16.1
Next.js 16.1 brings Turbopack file system caching to development mode by default, delivering up to 14× faster compile times when restarting the dev server. The release includes an experimental bundle analyzer for optimizing production bundles, simplified debugging with `next dev --inspect`, and improved handling of transitive external dependencies. Additional improvements include 20MB smaller installs, a newer compile timescommand, and better async import bundling in Turbopack.

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