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Python Courses & Resources

Python Courses & Resources

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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

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📈 Аналитический обзор Telegram-канала Python Courses & Resources

Канал Python Courses & Resources (@python53) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 51 231 подписчиков, занимая 3 453 место в категории Образование и 6 758 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 51 231 подписчиков.

Согласно последним данным от 01 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 267, а за последние 24 часа — 10, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.76%. В первые 24 часа после публикации контент обычно набирает 1.27% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 928 просмотров. В течение первых суток публикация набирает 649 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как consultation, dentist, insidead, waybienad, appointment.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho”

Благодаря высокой частоте обновлений (последние данные получены 02 ноября, 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 Образование.

51 231
Подписчики
+1024 часа
-227 дней
+26730 дней
Архив постов
🪙 Everything you need to get started in machine learning. Start with Python, explore scikit-learn, and neural networks using
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