Available now! Telegram Research 2025 — the year's key insights 
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📈 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 11 857 subscribers, ranking 10 585 in the Technologies & Applications category and 55 599 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 857 subscribers.
According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -44 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.86%. Within the first 24 hours after publication, content typically collects 2.51% reactions from the total number of subscribers.
- Post reach: On average, each post receives 576 views. Within the first day, a publication typically gains 298 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 12 June, 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.
import os
def Snake(n):
# великолепный код тут
inputFile = open(os.getenv("INPUT_FILE") , "r")
a = inputFile.readline()
result = "|".join(map(lambda x: " ".join(map(str, x)), Snake(a)))
outputFile = open(os.getenv("OUTPUT_FILE"), "w")
outputFile.write(result)
inputFile.close()
outputFile.close()
Python CommunityСохраняй, пригодится