Python Community
Python Community RU - СНГ сообщество Python-разработчиков Чат канала: @python_community_chat Сотрудничество: @cyberJohnny и @Sergey_bzd РКН реестр: https://knd.gov.ru/license?id=67847dd98e552d6b54a511ed®istryType=bloggersPermission
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📈 Analytical overview of Telegram channel Python Community
Channel Python Community (@python_community_ru) in the Russian language segment is an active participant. Currently, the community unites 11 504 subscribers, ranking 10 757 in the Technologies & Applications category and 55 594 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 504 subscribers.
According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -78 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.40%. Within the first 24 hours after publication, content typically collects 2.24% reactions from the total number of subscribers.
- Post reach: On average, each post receives 506 views. Within the first day, a publication typically gains 258 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as docker, git, github, контейнер, await.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Python Community RU - СНГ сообщество Python-разработчиков
Чат канала: @python_community_chat
Сотрудничество: @cyberJohnny и @Sergey_bzd
РКН реестр:
https://knd.gov.ru/license?id=67847dd98e552d6b54a511ed®istryType=bloggersPermission”
Thanks to the high frequency of updates (latest data received on 04 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
Counter(iter) — подсчитывает количество повторений объекта в iter. С помощью most_common(n) можно получить n самых повторяющихся объектов.
defaultdict(default_factory) — создаёт и подставляет новый объект, созданный default_factory, если не переданного ключа не существует.
namedtuple(typename, field_names) — Создаёт тип кортежа с именованными полями.
#миниурок #collections__name__), документация (__doc__) и файл, в котором он находится (__file__).
Кстати, помимо обычного import мы так же можем получить доступ к модулю, используя importlib.import_module() или __import__().
#теория