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Python/ django

Python/ django

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📈 Analytical overview of Telegram channel Python/ django

Channel Python/ django (@pythonl) in the Russian language segment is an active participant. Currently, the community unites 59 977 subscribers, ranking 2 213 in the Technologies & Applications category and 10 240 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 59 977 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -565 over the last 30 days and by -13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.12%. Within the first 24 hours after publication, content typically collects 3.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 4 271 views. Within the first day, a publication typically gains 1 872 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 22.
  • Thematic interests: Content is focused on key topics such as github, claude, контекст, архитектура, api.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
по всем вопросам @haarrp @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3Fmxm...

Thanks to the high frequency of updates (latest data received on 14 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.

59 977
Subscribers
-1324 hours
-1107 days
-56530 days
Posts Archive

В подкасте «Деньги любят техно» стартовал специальный сезон Data Science, посвященный актуальным для DS темам. В свежем выпус
В подкасте «Деньги любят техно» стартовал специальный сезон Data Science, посвященный актуальным для DS темам. В свежем выпуске Денис Суржко, начальник управления перспективных алгоритмов машинного обучения ВТБ и Алексей Натёкин, основатель сообщества ODS обсуждают, может ли AutoML заменить дата-сайентиста и если да — когда это произойдёт. Об изменениях роли специалистов в Data Science и развитии автоматизированного машинного обучения можно послушать тут. Реклама, Банк ВТБ (ПАО) https://www.vtb.ru/