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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 58 382 subscribers, ranking 2 244 in the Technologies & Applications category and 10 292 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 58 382 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -248 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.91%. Within the first 24 hours after publication, content typically collects 3.11% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 452 views. Within the first day, a publication typically gains 1 813 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
  • 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 @workakkk @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3Fm...”

Thanks to the high frequency of updates (latest data received on 05 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.

58 382
Subscribers
-1024 hours
-1547 days
-24830 days
Posts Archive
Scikit-Learn's train_test_split() - Training, Testing and Validation Sets https://stackabuse.com/scikit-learns-traintestsplit
Scikit-Learn's train_test_split() - Training, Testing and Validation Sets https://stackabuse.com/scikit-learns-traintestsplit-training-testing-and-validation-sets/ @pythonl

PyTorch DataLoader Quick Start https://sparrow.dev/pytorch-dataloader/ @pythonl
PyTorch DataLoader Quick Start https://sparrow.dev/pytorch-dataloader/ @pythonl

How the NumPy append operation works https://sparrow.dev/numpy-append/ @pythonl
How the NumPy append operation works https://sparrow.dev/numpy-append/ @pythonl

Python 3.10: Cool New Features for You to Try https://realpython.com/python310-new-features/ @pythonl
Python 3.10: Cool New Features for You to Try https://realpython.com/python310-new-features/ @pythonl

🔥Готовы ли вы к обучению на продвинутом онлайн-курсе «Golang Developer. Professional»? Пройдите тест и узнайте сейчас! 👉🏻П
🔥Готовы ли вы к обучению на продвинутом онлайн-курсе «Golang Developer. Professional»? Пройдите тест и узнайте сейчас! 👉🏻ПРОЙТИ ТЕСТ ПО GOLANG: https://otus.pw/II1R/ 📌Хотите протестировать учебный процесс заранее? Регистрируйтесь на бесплатное демо-занятие «Примитивы синхронизации»: https://otus.pw/la70/

Django REST Framework Views - ViewSets https://testdriven.io/blog/drf-views-part-3/ @pythonl
Django REST Framework Views - ViewSets https://testdriven.io/blog/drf-views-part-3/ @pythonl

How to Work with a Database Using sqlite3 https://www.blog.pythonlibrary.org/2021/09/30/sqlite/ @pythonl
How to Work with a Database Using sqlite3 https://www.blog.pythonlibrary.org/2021/09/30/sqlite/ @pythonl

Django REST Framework Views - Generic Views https://testdriven.io/blog/drf-views-part-2/ @pythonl
Django REST Framework Views - Generic Views https://testdriven.io/blog/drf-views-part-2/ @pythonl

11 и 12 октября в OTUS пройдет интенсив "Валидация flac-файлов" для Web-разработчиков на Python. Эксперт Евгений Ревняков нау
11 и 12 октября в OTUS пройдет интенсив "Валидация flac-файлов" для Web-разработчиков на Python. Эксперт Евгений Ревняков научит вас читать flac-файлы, вычислять метрики их качества и заодно делать выводы об их происхождении: из mp3-файла или качественного источника. Интенсив предназначен для разработчиков, которые хотят освоить Web-разработку на Python. Пройдите вступительное тестирование, чтобы попасть на интенсив и проверить свой уровень знаний: https://otus.pw/TmqL/ Интенсив – это практическая вводная часть онлайн-курса «Python Web-Developer», которая позволит вам оценить курс и сделать выбор.

The Django Template Language: Tags and Filters https://realpython.com/django-templates-tags-filters/ @pythonl
The Django Template Language: Tags and Filters https://realpython.com/django-templates-tags-filters/ @pythonl

Django REST Framework Views - APIViews https://testdriven.io/blog/drf-views-part-1/ @pythonl
Django REST Framework Views - APIViews https://testdriven.io/blog/drf-views-part-1/ @pythonl