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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 59 806 subscribers, ranking 2 216 in the Technologies & Applications category and 10 245 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 59 806 subscribers.

According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -530 over the last 30 days and by -26 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.94%. Within the first 24 hours after publication, content typically collects 3.59% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 347 views. Within the first day, a publication typically gains 2 146 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 23 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.

59 806
Subscribers
-2624 hours
-1247 days
-53030 days
Posts Archive
Python List Comprehensions in 5-minutes A visual introduction to those tricky Pythonic one-liners https://towardsdatascience.com/python-list-comprehensions-in-5-minutes-40a68cbe4561?source=---------2---------------------

The Quick Python Book 2018

Minimally Sufficient Pandas In this article described perspective on how to best use the Pandas library. https://medium.com/dunder-data/minimally-sufficient-pandas-a8e67f2a2428?source=---------0---------------------

Recursive Programming How to solve a problem by pretending you already have https://towardsdatascience.com/finding-a-recursive-solution-184784b0aea0

Django - Lecture 7 - CS50's Web Programming with Python and JavaScript https://www.youtube.com/watch?v=ZjAMRnCu-84

Django and React Tutorial // 1 - Creating a Fullstack Application https://www.youtube.com/watch?v=uZgRbnIsgrA

James Powell - So you want to be a Python expert? https://www.youtube.com/watch?v=cKPlPJyQrt4

Python Flask Sending Data From Python To Jinja Templates https://www.youtube.com/watch?v=dYYQXaprlKM

Advanced Python Tutorial | Learn Advanced Python Concepts | Python Programming Training #AdvancedPython #AdvancedPythonTutorial #PythonTutorial https://www.youtube.com/watch?v=O1gZc-erLjg

Zero to Hero with Python Programming #Python #tutorials #programming https://www.youtube.com/watch?v=3cZsjOclmoM

Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python https://www.youtube.com/watch?v=LzaWrmKL1Z4