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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
Connecting Flask and Nginx with Docker https://morioh.com/p/b4d97538df90

Announcing PyCaret 1.0.0 An open source low-code machine learning library in Python. PyCaret allows you to go from preparing data to deploying models within seconds from your choice of notebook environment. https://towardsdatascience.com/announcing-pycaret-an-open-source-low-code-machine-learning-library-in-python-4a1f1aad8d46 Habr RU : https://habr.com/ru/company/otus/blog/497770/ Github: https://github.com/pycaret/pycaret Guide: https://pycaret.org/guide/

Implement Face Detection from Image and Video with Python https://morioh.com/p/108652f1547a

How to Develop Voting Ensembles With Python https://machinelearningmastery.com/voting-ensembles-with-python/

Web Scraping with Python https://morioh.com/p/284807096613

Quick Domain-Specific Languages in Python with textX https://tomassetti.me/quick-domain-specific-languages-in-python-with-textx/

Nevergrad, an evolutionary optimization platform, adds new key features Facebook AI’s open source Python3 library for derivative-free and evolutionary optimization. https://ai.facebook.com/blog/nevergrad-an-evolutionary-optimization-platform-adds-new-key-features/ GitHub: https://github.com/facebookresearch/nevergrad Documentation: https://facebookresearch.github.io/nevergrad/index.html

Combining Data in Pandas With merge(), .join(), and concat() https://realpython.com/pandas-merge-join-and-concat/

Научи нейросеть узнавать объекты с первого раза. Приходи на открытый урок по Нейросетям на Python https://otus.pw/BW0O/ 14 ап
Научи нейросеть узнавать объекты с первого раза. Приходи на открытый урок по Нейросетям на Python https://otus.pw/BW0O/ 14 апреля в 20:00 Михаил Степанов, эксперт по машинному обучению из Jet Infosystems, проведет занятие по Triplet loss. Что будем делать: * Научимся работать с tensorflow datasets * Рассмотрим проблему one-shot learning, metric learning * Разберемся, что такое siamese networks и triplet loss * Обучим нейросеть, способную с первого раза узнавать объекты Требуется знание Python и математики. Проходи вступительный тест и записывайся в группу, пока действуют самые большие скидки!

Neural Networks from Scratch - P.1 Intro and Neuron Code https://morioh.com/p/d3398c5b6c25

10+ Python Tips and Tricks You Should Know in 2020 https://morioh.com/p/7430d87868f7

Using Python to Check for File Changes in Excel https://pybit.es/using-python-to-check-for-file-changes-in-excel.html

Selenium Webdriver using Python: Tutorial with Examples https://morioh.com/p/4aaa28813caf

How to Make an Instagram Bot With Python and InstaPy https://realpython.com/instagram-bot-python-instapy/

Django Social Login Authentication Example https://morioh.com/p/185f50b2f195