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Learn Python Coding

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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📈 Аналитический обзор Telegram-канала Learn Python Coding

Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 39 131 подписчиков, занимая 3 502 место в категории Технологии и приложения и 10 597 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 39 131 подписчиков.

Согласно последним данным от 05 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 458, а за последние 24 часа — 21, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.68%. В первые 24 часа после публикации контент обычно набирает 1.04% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 048 просмотров. В течение первых суток публикация набирает 405 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как math, harvard, oxford, supervision, waybienad.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
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

Благодаря высокой частоте обновлений (последние данные получены 06 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

39 131
Подписчики
+2124 часа
+1207 дней
+45830 день
Архив постов
✨ Quiz: Exploring Protocols in Python ✨ 📖 Test your knowledge of Python protocols, structural subtyping, and static type che
Quiz: Exploring Protocols in Python ✨ 📖 Test your knowledge of Python protocols, structural subtyping, and static type checking, including generic and subprotocol usage. 🏷️ #intermediate #python

curses | Python Standard Library ✨ 📖 Provides tools for building text-based user interfaces in Unix terminals, providing control over cursor position, colors, windows, and keyboard input. 🏷️ #Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
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_rRW2scgfRhOTc0https://t.me/Codeprogrammer

✨ Quiz: Reading Input and Writing Output in Python ✨ 📖 Test your Python basics: read user input with input(), display output
Quiz: Reading Input and Writing Output in Python ✨ 📖 Test your Python basics: read user input with input(), display output with print(), and handle numeric conversions. 🏷️ #basics #python

ctypes | Python Standard Library ✨ 📖 Allows for calling functions in shared C libraries and DLLs using C-compatible data types. 🏷️ #Python

✨ Dictionaries in Python ✨ 📖 Learn how dictionaries in Python work: create and modify key-value pairs using dict literals, t
Dictionaries in Python ✨ 📖 Learn how dictionaries in Python work: create and modify key-value pairs using dict literals, the dict() constructor, built-in methods, and operators. 🏷️ #basics #python

✨ Quiz: Implementing the Factory Method Pattern in Python ✨ 📖 Learn how the Factory Method pattern separates creation from u
Quiz: Implementing the Factory Method Pattern in Python ✨ 📖 Learn how the Factory Method pattern separates creation from use, promotes decoupling, and organizes Python products efficiently. 🏷️ #intermediate #best-practices

🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning Both code and weights are available under t
🚀 Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning Both code and weights are available under the MIT license on HuggingFace. 👉 Key details: • Trained from scratch (not a finetune) on proprietary data and infrastructure • Mixture-of-Experts (MoE) architecture Models: 🧠 GigaChat-3.1 Ultra • 702B MoE model for high-performance environments • Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks • Supports FP8 training and MTP ⚡️ GigaChat-3.1 Lightning • 10B model (1.8B active parameters) • Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks • Efficient local inference • Up to 256k context Engineering highlights: • Custom metric to detect and reduce generation loops • DPO training moved to native FP8 • Improvements in post-training pipeline • Identified and fixed a critical issue affecting evaluation quality 🌍 Trained on 14 languages (optimized for English and Russian) Use cases: • chatbots • AI assistants • copilots • internal ML systems Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.

✨ Quiz: Using Loguru to Simplify Python Logging ✨ 📖 Test your knowledge of Loguru for Python logging, from zero-config setup
Quiz: Using Loguru to Simplify Python Logging ✨ 📖 Test your knowledge of Loguru for Python logging, from zero-config setup and log levels to custom formats and adding context. 🏷️ #intermediate #tools

✨ Quiz: Building a Python GUI Application With Tkinter ✨ 📖 Test your Tkinter skills with this interactive challenge on widge
Quiz: Building a Python GUI Application With Tkinter ✨ 📖 Test your Tkinter skills with this interactive challenge on widgets, layouts, event loops, and text/file handling in Python GUIs. 🏷️ #basics #gui #stdlib

copyreg | Python Standard Library ✨ 📖 Provides a registry for defining custom pickling and copying functions for specific object types. 🏷️ #Python

✨ Quiz: For Loops in Python (Definite Iteration) ✨ 📖 Test your understanding of Python loops, iterables, and control flow wi
Quiz: For Loops in Python (Definite Iteration) ✨ 📖 Test your understanding of Python loops, iterables, and control flow with break, continue, and StopIteration. 🏷️ #basics #python

compileall | Python Standard Library ✨ 📖 Provides utilities for byte-compiling Python source files into bytecode across a directory tree, a single file, or all locations on sys.path. 🏷️ #Python

🚀 Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need boo
🚀 Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! 🔰 Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer 🔖 Machine Learning Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications. https://t.me/DataScienceM 🧠 Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ 💾 Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 🧑‍🎓 Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC 😀 ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT 💬 Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| بايثون عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab 🖊 Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN 📺 Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV 📈 Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

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Python Complete Course For Python Beginners Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level... 🏷 Category: it-and-software 🌍 Language: English (US) 👥 Students: 345,060 students ⭐️ Rating: 4.3/5.0 (5,218 reviews) 🏃‍♂️ Enrollments Left: 94 ⏳ Expires In: 0D:30H:30M 💰 Price: $25.31 => FREE 🆔 Coupon: 0B6F0C44C36F70F20C0A ⚠️ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. 🙏 💎 By: https://t.me/Udemy26

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

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