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
Show more
Network:📈 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 11 509 subscribers, ranking 10 784 in the Technologies & Applications category and 55 591 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 509 subscribers.
According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -75 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.38%. Within the first 24 hours after publication, content typically collects 2.23% reactions from the total number of subscribers.
- Post reach: On average, each post receives 504 views. Within the first day, a publication typically gains 257 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- 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 31 October, 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.
