Python Courses & Resources

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

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Сеть:Machine Learning with Python Индия7 917 Образование3 603...

📈 Аналитический обзор Telegram-канала Python Courses & Resources

Канал Python Courses & Resources (@python53) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 49 035 подписчиков, занимая 3 603 место в категории Образование и 7 917 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 49 035 подписчиков.

Согласно последним данным от 05 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 494, а за последние 24 часа — 15, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.39%. В первые 24 часа после публикации контент обычно набирает 1.24% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 172 просмотров. В течение первых суток публикация набирает 608 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.”

Благодаря высокой частоте обновлений (последние данные получены 07 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 Образование.

49 035

Подписчики

+1524 часа

+1457 дней

+49430 день

1 172

Просмотры поста

~ 60824 часа

~ 79148 часов

2.39%

Коэффициент вовлеченности

~ 2

Постов в день

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Repost from Machine Learning with Python

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