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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
Открыт набор в новую группу профессионального онлайн-курса «Компьютерное зрение». Углубленный курс по CV для специалистов в м
Открыт набор в новую группу профессионального онлайн-курса «Компьютерное зрение». Углубленный курс по CV для специалистов в машинном обучении, знакомых с нейронными сетями. Знакомьтесь с полностью обновленной программой, сдавайте вступительное тестирование и начните обучение на выгодных условиях скидка -20% https://otus.pw/13m6/

Understand Types of Exceptions in Python https://morioh.com/p/750ba9741c24

The Python manual @pythonl

Python 3.9.0a5 is now available for testing https://www.python.org/downloads/release/python-390a5/

How to Build and Run Python Web App with Docker Compose https://morioh.com/p/1e80d49f8d3e

PyTorch Tutorial: How to Develop Deep Learning Models with Python https://machinelearningmastery.com/pytorch-tutorial-develop-deep-learning-models/

Get started using treq to make async calls in Python https://opensource.com/article/20/3/treq-python

Introduction to SQLAlchemy ORM for Django Developers https://apirobot.me/posts/introduction-to-sqlalchemy-orm-for-django-developers

Building a simple REST API with Python and Flask https://morioh.com/p/35f9f2f16908

Открыт набор в новую группу профессионального онлайн-курса «Нейронные сети на Python». Знакомьтесь с программой, сдавайте вступительное тестирование и поступите в группу со скидкой -20% https://otus.pw/9sTd/ За 5 месяцев вы: - Научитесь работать с нейронными сетями с использованием фреймворков PyTorch, Tensorflow, Keras; - Изучите теорию и практику по таким важным направлениям Deep Learning как Computer Vision, NLP, обучение с подкреплением и многое другое. Делиться своей экспертизой с вами будут преподаватели, профессионалы своего дела и разработчики-практики: Приходите за подробностями, сдавайте вступительный тест и присоединяйтесь к курсу: https://otus.pw/9sTd/

How to use Pandas Scatter Matrix (Pair Plot) to Visualize Trends in Data https://www.marsja.se/pandas-scatter-matrix-pair-plot/

Python Scope & the LEGB Rule: Resolving Names in Your Code – Real Python https://realpython.com/python-scope-legb-rule

Introduction to Image Processing in Python with OpenCV. https://stackabuse.com/introduction-to-image-processing-in-python-with-opencv/

Neural Networks are Function Approximation Algorithms https://machinelearningmastery.com/neural-networks-are-function-approximators/

PyGame: A Primer on Game Programming in Python – Real Python https://realpython.com/courses/pygame-primer/

Building a Login System with Python Flask and MySQL for Beginners https://morioh.com/p/c61187faa9be

TensorFlow Tutorial | TensorFlow in a Nutshell https://morioh.com/p/22674da361ac