PythonBoost - сообщество питонистов
Лучший Python телеграм канал для новичков. Цель: подготовка студентов, начинающих питонистов к нахождению первой работы. @anothertechrock РКН: https://kurl.ru/Jhcwp
Show more📈 Analytical overview of Telegram channel PythonBoost - сообщество питонистов
Channel PythonBoost - сообщество питонистов (@pythonboost) in the Russian language segment is an active participant. Currently, the community unites 11 056 subscribers, ranking 11 298 in the Technologies & Applications category and 59 443 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 056 subscribers.
According to the latest data from 03 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -47 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 3.98%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 440 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as true, docker, собеседование, кортеж, параметр.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Лучший Python телеграм канал для новичков.
Цель: подготовка студентов, начинающих питонистов к нахождению первой работы.
@anothertechrock
РКН: https://kurl.ru/Jhcwp”
Thanks to the high frequency of updates (latest data received on 04 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.
input до таких продвинутых тем, как безопасный ввод, фреймворки валидации и подходы, основанные на искусственном интеллекте.
✔️ Читать статью
#читать
Available now! Telegram Research 2025 — the year's key insights 
