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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 354 Tecnologías y Aplicaciones3 286...

📈 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 40 888 suscriptores, ocupando la posición 3 286 en la categoría Tecnologías y Aplicaciones y el puesto 9 354 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 888 suscriptores.

Según los últimos datos del 26 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 455, y en las últimas 24 horas de 5, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.66%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.51% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 496 visualizaciones. En el primer día suele acumular 619 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 27 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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40 888

Suscriptores

+524 horas

+247 días

+45530 días

1 496

Visitas de la publicación

~ 61924 horas

~ 95248 horas

3.66%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

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Archivo de publicaciones

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How to create your own context manager in Python? There are two main ways: to create a class with methods enter() and exit(), or to use the decorator @contextmanager from the module contextlib. The second option is usually more compact and is based on generators. ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Repost from Data Science Books

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There are hundreds of AI channels on YouTube. Here's why we made another one. Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along. We built Guidely for everyone in between. → We start with absolute beginners in mind → Then take you deeper, until the details actually click → Every guide is reviewed by experienced AI engineers → We don't make more content. We make better content. Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well." Two good places to start 👇 → AI vs ML vs Deep Learning vs GenAI ... But Done Right! The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc → How to Break into AI Engineering in 2026 A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please don’t forget to like and subscribe.

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What useful functions are there in the functools module? Among the most popular ones: lru_cache for caching results, partial for partial application of arguments, wraps for preserving metadata in decorators and cmp_to_key for transforming a comparison function into a sorting key 🐍✨

# functools module usage
from functools import lru_cache, partial, wraps, cmp_to_key

#Python #functools #coding #programming #softwaredev #tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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✍️ Python Backend Knowledge Base — a large knowledge base for developers! This repository has gathered in one place everything a Python backend developer encounters: from basic concepts to more complex topics related to architecture, databases, APIs, and the structure of server applications. The material is well-structured, so it's convenient to use not only for learning new topics but also as a reference during work. I'll leave a link: [GitHub](https://github.com/nightblure/Python-backend-knowledge-base) 📱 د ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO #Python #Backend #Developer #GitHub #Programming #Tech

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