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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Сеть:Machine Learning with Python Индия9 587 Технологии и приложения3 250...

📈 Аналитический обзор Telegram-канала Learn Python Coding

Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 130 подписчиков, занимая 3 250 место в категории Технологии и приложения и 9 587 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 130 подписчиков.

Согласно последним данным от 01 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 146, а за последние 24 часа — 9, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.86%. В первые 24 часа после публикации контент обычно набирает 1.08% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 748 просмотров. В течение первых суток публикация набирает 435 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
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 02 сентября, 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.

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Подписчики

+924 часа

+717 дней

+14630 дней

748

Просмотры поста

~ 43524 часа

~ 63348 часов

1.86%

Коэффициент вовлеченности

~ 2

Постов в день

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𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 Whether you're just starting out or already working as a Data Engineer, having a quick Python reference guide can save you time and boost your productivity. I’m excited to share this Python Cheat Sheet that covers key concepts every data engineer should know — from syntax basics to file handling and commonly used functions. A handy resource for daily use and interview prep. #Python #DataEngineering #CheatSheet #PythonForData #CodingTips #DataEngineerTools #ProductivityBoost #PythonBasics #InterviewPrep #PythonReference Join to our WhatsApp 📱 channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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Roadmap to Python in 2025 Python has evolved from a simple scripting language to the backbone of modern data science and machine learning. As we enter 2025, Python remains the most popular language for AI development and data analysis, making it an essential skill for anyone looking to enter these fields. This #roadmap provides a clear, practical path from #Python basics to advanced machine learning applications. Read: https://machinelearningmastery.com/roadmap-to-python-in-2025/ Tell your friends https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 📱

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Repost from Machine Learning with Python

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Repost from Machine Learning with Python

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MIT's "Advanced Algorithms" (Course 6.854J, Fall 2008) is a graduate-level course offering deep insights into the design and analysis of advanced algorithms. The lecture notes cover a wide range of topics such as graph algorithms, flow networks, randomized algorithms, approximation techniques, and data structures. The material is rigorous and ideal for researchers, graduate students, or professionals looking to strengthen their theoretical foundations in computer science. Link to lecture notes: https://ocw.mit.edu/courses/6-854j-advanced-algorithms-fall-2008/pages/lecture-notes

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“Python for Beginners” is a concise and well-structured booklet tailored for anyone starting their Python programming journey. Instead of relying on expensive courses or scattered online content, this PDF organizes Python fundamentals in a clear, logical manner — from variables and data types to functions, loops, and modules. It's perfect for beginners who want a solid foundation and a guided learning path without the overwhelm.

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Repost from Machine Learning with Python

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