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
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Red:📈 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 40 060 suscriptores, ocupando la posición 3 242 en la categoría Tecnologías y Aplicaciones y el puesto 9 688 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 060 suscriptores.
Según los últimos datos del 27 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 168, 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 3.06%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.11% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 227 visualizaciones. En el primer día suele acumular 443 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 28 agosto, 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.
40 060
Suscriptores
+1224 horas
-377 días
+16830 días
Archivo de publicaciones
40 061
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
40 061
✨ Quiz: Python's Counter: The Pythonic Way to Count Objects ✨
📖 Test your understanding of Python's Counter class from the collections module, including construction, counting, and multiset operations.
🏷️ #basics #python #stdlib
40 061
✨ codeop | Python Standard Library ✨
📖 Provides utilities for incrementally compiling Python source code and tracking future statements.
🏷️ #Python
40 061
✨ Python Classes: The Power of Object-Oriented Programming ✨
📖 Learn how to define and use Python classes to implement object-oriented programming. Dive into attributes, methods, inheritance, and more.
🏷️ #intermediate #best-practices #python
40 061
✨ Quiz: Exploring Keywords in Python ✨
📖 Test your understanding of Python keywords, including the difference between regular and soft keywords, keyword categories, and common pitfalls.
🏷️ #basics #python
40 061
Repost from Free Online Courses
📚 Python Interview Basics for Beginners
#Development #Python #Free #Udemy
📝 prepare for next python interview
⏱ Duration: 39 m
👥 Enrollments: 23
⭐ Rating: 4 (1 reviews)
🎓 Features: Udemy • English • Beginner • Development,Python
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📢 Join our channel: @Courses27
⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏
40 061
Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
40 061
✨ Quiz: Test-Driven Development With pytest ✨
📖 Test your TDD skills with pytest. Practice writing unit tests, following pytest conventions, and measuring code coverage.
🏷️ #intermediate #testing
40 061
✨ codecs | Python Standard Library ✨
📖 Defines base classes for standard codecs and provides access to the codec registry for encoding and decoding text and binary data.
🏷️ #Python
40 061
✨ Quiz: Using Jupyter Notebooks ✨
📖 Test your Jupyter Notebook skills: cells, modes, shortcuts, Markdown, server tools, and exporting notebooks to HTML.
🏷️ #intermediate #tools
40 061
✨ code | Python Standard Library ✨
📖 Provides classes and functions for implementing read-eval-print loops and embedding interactive interpreter consoles in applications.
🏷️ #Python
40 061
✨ Quiz: Interacting With REST APIs and Python ✨
📖 Test your Python REST API knowledge: consuming, building, HTTP methods, status codes, Flask, FastAPI, and Django basics.
🏷️ #intermediate #api #web-dev
40 061
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
40 061
✨ Quiz: Getting Started With Django: Building a Portfolio App ✨
📖 Test your Django basics: frameworks, projects, views, templates, models, URLs, and migrations with practical questions.
🏷️ #basics #django #projects #web-dev
40 061
Repost from Machine Learning with Python
📱 Python enthusiasts, this is for you — 15 BEST REPOSITORIES on GitHub for learning Python
▶️ Awesome Python — https://github.com/vinta/awesome-python
— the largest and most authoritative collection of frameworks, libraries, and resources for Python — a must-save
▶️ TheAlgorithms/Python — https://github.com/TheAlgorithms/Python
— a huge collection of algorithms and data structures written in Python
▶️ Project-Based-Learning — https://github.com/practical-tutorials/project-based-learning
— learning Python (and not only) through real projects
▶️ Real Python Guide — https://github.com/realpython/python-guide
— a high-quality guide to the Python ecosystem, tools, and best practices
▶️ Materials from Real Python — https://github.com/realpython/materials
— a collection of code and projects for Real Python articles and courses
▶️ Learn Python — https://github.com/trekhleb/learn-python
— a reference with explanations, examples, and exercises
▶️ Learn Python 3 — https://github.com/jerry-git/learn-python3
— a convenient guide to modern Python 3 with tasks
▶️ Python Reference — https://github.com/rasbt/python_reference
— cheat sheets, scripts, and useful tips from one of the most respected Python authors
▶️ 30-Days-Of-Python — https://github.com/Asabeneh/30-Days-Of-Python
— a 30-day challenge: from syntax to more complex topics
▶️ Python Programming Exercises — https://github.com/zhiwehu/Python-programming-exercises
— 100+ Python tasks with answers
▶️ Coding Problems — https://github.com/MTrajK/coding-problems
— tasks on algorithms and data structures, including for preparation for interviews
▶️ Projects — https://github.com/karan/Projects
— a list of ideas for pet projects (not just Python). Great for practice
▶️ 100-Days-Of-ML-Code — https://github.com/Avik-Jain/100-Days-Of-ML-Code
— machine learning in Python in the format of a challenge
▶️ 30-Seconds-of-Python — https://github.com/30-seconds/30-seconds-of-python
— useful snippets and tricks for everyday tasks
▶️ Geekcomputers/Python — https://github.com/geekcomputers/Python
— various scripts: from working with the network to automation tasks
React ♥️ for more posts like this 💛
40 061
✨ Quiz: Using Data Classes in Python ✨
📖 Test your knowledge of Python data classes, namedtuple, immutability, auto-generated methods, inheritance, and slots.
🏷️ #intermediate #python
40 061
Repost from Machine Learning with Python
📱 A huge cheat sheet for Python, Django, Plotly, Matplotlib, Pygame
Many topics are covered inside:
🔸 All basic constructs: variables, conditions, loops, lists, dictionaries, functions, and classes — with clear examples;
🔸 Working with files, exceptions, and data input — understandable even for beginners;
🔸 #Django, #Pygame, #Matplotlib, and #Plotly — brief instructions on how to get started with each of the frameworks;
🔸 Tips on #Git, project structure, and unit testing.
https://t.me/CodeProgrammer ❤️
