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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Сеть:📈 Аналитический обзор Telegram-канала Python Courses & Resources
Канал Python Courses & Resources (@python53) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 50 364 подписчиков, занимая 3 428 место в категории Образование и 7 180 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 50 364 подписчиков.
Согласно последним данным от 27 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 385, а за последние 24 часа — -7, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.96%. В первые 24 часа после публикации контент обычно набирает 1.26% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 492 просмотров. В течение первых суток публикация набирает 635 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- 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 28 августа, 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.
50 364
Подписчики
-724 часа
-227 дней
+38530 день
Архив постов
Machine Learning Foundations: Probability
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Python Interview Questions & Mock Tests – 2026
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🔅 Deep Learning with Python: Convolutional Neural Networks
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