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 India10 482 Tecnologías y Aplicaciones3 496...

📈 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 39 194 suscriptores, ocupando la posición 3 496 en la categoría Tecnologías y Aplicaciones y el puesto 10 482 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 39 194 suscriptores.

Según los últimos datos del 11 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 445, y en las últimas 24 horas de 15, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.22%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.91% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 870 visualizaciones. En el primer día suele acumular 358 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
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 12 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.

39 194

Suscriptores

+1524 horas

+857 días

+44530 días

870

Visitas de la publicación

~ 35824 horas

~ 44548 horas

2.22%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

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📚 Advanced Python Automation (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2106 💬 Tags: #python USEFUL CHANNELS FOR YOU

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📚 The Internet of Things Explained (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2102 💬 Tags: #IOT USEFUL CHANNELS FOR YOU

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Repost from Data Science Books

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📚 Mastering Python Algorithms (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2096 💬 Tags: #Algorithms USEFUL CHANNELS FOR YOU

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I highly recommend downloading the app, there is a solid guide to mastering AI.

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Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you. If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try. Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN It’s time to read less and know more!

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Count Files and Folders using Python 🖥 https://t.me/DataScience4 ✅

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Repost from Machine Learning with Python

📕 Python Basics Made Simple! 📷 Course: AI Python for Beginners 👨‍💻 Instructor: Andrew Ng In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey. Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer ⭐️

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Screen recorder using Python https://t.me/DataScience4 ✅

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Repost from Machine Learning with Python

📈How to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market! She was able to make over $15,000 in the last month! ❗️ Right now she has started a marathon on her channel and is running it absolutely free. 💡 To participate in the marathon, you will need to : 1. Subscribe to the channel SIGNALS BY LISA TRADER 📈 2. Write in private messages : “Marathon” and start participating! 👉CLICK HERE👈

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👩‍💻 Pythonic Data Structures and Algorithms: algorithms 🖥 Github https://t.me/DataScience4 ✅

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Please 1️⃣0️⃣0️⃣ likes or ⭐️

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👩‍💻 TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers from all over the world contribute with various algorithms used in computer science, mathematics, and data science. 🔍 The repository includes hundreds of algorithm implementations in various categories, such as: 🌟 Sorting and searching (e.g. quicksort, binary search). 🌟 Data structures (e.g. trees, graphs, queues). 🌟 Graph algorithms (e.g. depth-first search, breadth-first search). 🌟 Cryptography (e.g. encryption, hashing). 🌟 Machine learning algorithms and many more! 💡 The goal of the project is to offer a learning resource where developers can learn and understand how different algorithms work. Each algorithm is accompanied by code examples, and many of them have detailed explanations. 🔐 License: MIT 👍 Github https://t.me/DataScience4 ✅

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20 Python Libraries You Aren't Using But Should 📕 Book https://t.me/DataScience4 ✅

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Repost from Machine Learning with Python

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️