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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 59 814 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 59 814 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.

59 814
Subscribers
-2324 hours
-1217 days
-51830 days
Posts Archive
Building ORMs from scratch with advanced Python - Barak Itkin https://www.youtube.com/watch?v=IRBXm77jlUE

Explore & Visualise the Data with Python https://www.youtube.com/watch?v=Wk2y-nymvEk

Python Plotting Tutorial w/ Matplotlib & Pandas (Line Graph, Histogram, Pie Chart, Box & Whiskers) https://www.youtube.com/watch?v=0P7QnIQDBJY

Intro to Web Scraping with Python and Beautiful Soup https://www.youtube.com/watch?v=XQgXKtPSzUI

Best Python Hacking Course for Beginners in 2019 https://www.youtube.com/watch?v=pybhdkOl-7o

Coding Livestream - Come Play Online Chess with Python & Pygame https://www.youtube.com/watch?v=ejZqLsQDjuo

Deep Learning Tutorial With Python & Keras - Build Neural Network For Image Classification https://www.youtube.com/watch?v=qEyEijUDOCA

10 Python image manipulation tools. An overview of some of the commonly used Python libraries that provide an easy and intuitive way to transform images. https://towardsdatascience.com/image-manipulation-tools-for-python-6eb0908ed61f

Multithreading In Python | Python Multithreading Tutorial | Python Tutorial https://www.youtube.com/watch?v=JnFfp81VbOs