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Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

Red:Machine Learning with Python India9 353 Tecnologías y Aplicaciones3 292...

📈 Análisis del canal de Telegram Learn Python Coding

El canal Learn Python Coding (@pythonre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 879 suscriptores, ocupando la posición 3 292 en la categoría Tecnologías y Aplicaciones y el puesto 9 353 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 879 suscriptores.

Según los últimos datos del 27 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 395, y en las últimas 24 horas de -12, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.98%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.48% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 628 visualizaciones. En el primer día suele acumular 604 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
Intereses temáticos: El contenido se centra en temas clave como math, harvard, oxford, supervision, waybienad.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 28 octubre, 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.

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40 879

Suscriptores

-1224 horas

-127 días

+39530 días

1 628

Visitas de la publicación

~ 60424 horas

~ 1 05048 horas

3.98%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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✨ fnmatch | Python Standard Library ✨ 📖 Provides tools for Unix shell-style wildcard pattern matching against filename strings. 🏷️ #Python

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Read this once. There won't be a second message. Brainlancer just launched today. Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants. If you build, design, write, or sell anything with AI, this is your moment. How it works: • Register free at brainlancer.com • Stripe verification, 5 minutes, instant approval • List up to 5 services from $49 to $4,999 • Add monthly subscriptions on top if you want • We bring the clients. You keep 80%. The deal: No subscription. No bidding. No chasing. We pay all marketing. Real talk: no services live yet. We just launched. Whoever joins first gets seen first. The first 100 Brainlancers are onboarding right now. In 6 months others will have founding status, recurring income, featured services on the homepage. You'll scroll past and remember this post. Don't. → brainlancer.com

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Repost from Machine Learning with Python

GitHub repositories to enhance your Python proficiency: - Web development with Django — https://github.com/django/django - Data Science tools — https://github.com/rasbt/python-machine-learning-book - Algorithmic challenges — https://github.com/TheAlgorithms/Python - Machine learning recipes — https://github.com/ageron/handson-ml2 - Testing best practices — https://github.com/pytest-dev/pytest - Automation scripts — https://github.com/soimort/you-get - Advanced Python concepts — https://github.com/faif/python-patterns Bookmark and share https://t.me/CodeProgrammer 🌟

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Repost from Machine Learning with Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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✨ AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 AI coding agents come in four types: IDE, terminal, PR, and cloud. Learn how each workflow fits into modern Python development. 🏷️ #intermediate #ai

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✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 Check your understanding of how AI coding agents fit into your workflow through four interaction modes: IDE, terminal, pull request, and cloud. 🏷️ #intermediate #ai

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✨ fileinput | Python Standard Library ✨ 📖 Provides tools for iterating over lines from multiple input files or standard input, with support for in-place file editing. 🏷️ #Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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✨ Real Python Merchandise ✨ 📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers. 🏷️ #Python

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Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉 Mint your Lobster on Getgems 🦞🦞🦞

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✨ filecmp | Python Standard Library ✨ 📖 Provides tools for comparing files and directory trees, with a caching layer for efficiency and a dircmp class for recursive directory analysis. 🏷️ #Python