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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 59 836 subscribers, ranking 2 219 in the Technologies & Applications category and 10 249 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 59 836 subscribers.

According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -518 over the last 30 days and by -23 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.80%. Within the first 24 hours after publication, content typically collects 3.51% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 267 views. Within the first day, a publication typically gains 2 101 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 25.
  • 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 22 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.

59 836
Subscribers
-2324 hours
-1217 days
-51830 days
Posts Archive
Python Machine Learning Case Studies — Danish Haroon @datascienceiot

Run Python Versions in Docker: How to Try the Latest Python Release https://realpython.com/python-versions-docker/

The Pyramid Web Framework — Chris McDonough (en) 2019 @pythonl

Python Tutorial | Learn Object Oriented Python https://morioh.com/p/824d69602a91

Python for Computational Science and Engineering @pythonl

Complex Network Analysis in Python @pythonl

Beautiful Soup: Build a Web Scraper With Python https://realpython.com/beautiful-soup-web-scraper-python/

Mastering Python Network @pythonl

Python Projects with Source Code – Practice Top Projects in Python https://data-flair.training/blogs/python-projects-with-source-code/

Improve Serialization Performance in Django Rest Framework https://hakibenita.com/django-rest-framework-slow

Python for Scientists @ai_machinelearning_big_data

Beginning django CMS @pythonl

Programming for Computations. Python @pythonl

Python Web Scraping — K. Jarmul, R. Lawson (en) @pythonl