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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 124 Tecnologías y Aplicaciones3 289...

📈 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 40 875 suscriptores, ocupando la posición 3 289 en la categoría Tecnologías y Aplicaciones y el puesto 9 124 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 875 suscriptores.

Según los últimos datos del 30 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 330, y en las últimas 24 horas de 1, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.55%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.63% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 2 270 visualizaciones. En el primer día suele acumular 665 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
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 31 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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40 875

Suscriptores

+124 horas

-317 días

+33030 días

2 270

Visitas de la publicación

~ 66524 horas

~ 1 10448 horas

5.55%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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✨ pyenv | Python Tools ✨ 📖 A command-line tool for managing multiple Python versions. 🏷️ #Python

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🏆 Build Rock Paper Scissors: Python Project! 📢 Master Python basics! Build a Rock Paper Scissors game. Perfect for beginners to learn random choices and conditional logic. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @DataScience4 ✨

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Found a useful library for Python — Translators. This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek. 😨 It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup. Installation:

git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install

or simpler:

pip install --upgrade translators

GitHub: github.com/UlionTse/translators 👉 @DataScience4

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🪙 +30.560$ with 300$ in a month of trading! We can teach you how to earn! FREE! It was a challenge - a marathon 300$ to 30.000$ on trading, together with Lisa! What is the essence of earning?: "Analyze and open a deal on the exchange, knowing where the currency rate will go. Lisa trades every day and posts signals on her channel for free." 🔹Start: $150 🔹 Goal: $20,000 🔹Period: 1.5 months. Join and get started, there will be no second chance👇 https://t.me/+L9_l-dxOJxI2ZGUy https://t.me/+L9_l-dxOJxI2ZGUy https://t.me/+L9_l-dxOJxI2ZGUy

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✨ Topic: Python Data Science ✨ 📖 Explore all Python data science tutorials. Learn how to analyze and visualize data using Python. With these skills, you can derive insights from large data sets and make data-driven decisions. 🏷️ #140_resources

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✨ Writing DataFrame-Agnostic Python Code With Narwhals ✨ 📖 If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution. 🏷️ #advanced #data-science #python

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Learn web developement and gen ai with us 👉 https://t.me/WebsiteDesignLearningGroup ♨️ Ai and ml free course ♨️ Web dev. 🥳 Learn free 🥳

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I want to share a tool that I genuinely believe can make a real difference for anyone building apps: PacketSDK. Many developers have strong active-user bases but still struggle to increase revenue. That’s exactly why this solution stands out—it adds extra income without disrupting users or interfering with your existing monetization methods. Why I strongly recommend it: * It turns your active users into immediate profit without showing ads. * Integration is fast and straightforward—around 30 minutes. * It works on all platforms: mobile, desktop, TV, Unity, and more. As a channel owner, I recommend trying this service; you have nothing to lose. I used it and found its earnings amazing.

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How to upload a file via SSH using #Python and paramiko 🐍⚡️ https://t.me/DataScience4 🌟

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Django tip: Use python manage.py dumpdata to export the database to JSON or other formats. If you save the output to a file, it can be used as a fixture for tests or as initial data for new projects. Example 👇

# Export the entire database to a JSON file
python manage.py dumpdata > data.json

# Export data of a specific app
python manage.py dumpdata myapp.Book > books.json

👉 @DataScience4

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