en
Feedback
Python/ django

Python/ django

Open in Telegram

📈 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
A Step-By-Step Guide To Machine Learning Classification In Python Using Random Forest, PCA, & Hyperparameter Tuning — WITH CODE https://towardsdatascience.com/machine-learning-step-by-step-6fbde95c455a Habr: https://habr.com/ru/company/ruvds/blog/488342/ @pythonl

How to Plot a Histogram with Pandas in 3 Simple Steps https://www.marsja.se/how-to-plot-a-histogram-with-pandas-in-3-simple-steps/

World's average country population and inspection paradox with Python https://nikos7am.com/posts/average_population/

21 февраля в 20:00 мск приглашаем на День открытых дверей курса «Web-разработчик на Python»: https://otus.pw/WrUa/ Старт курса уже скоро - успейте пройти вступительный тест и получить спецпредложение: https://otus.pw/gTJy/ На бесплатном вебинаре: - вы познакомитесь с преподавателем-практиком Леонидом Орловым, программистом с 8-летним опытом; - сможете задать любые вопросы по web-разработке на Python; - узнаете подробнее о хардкорной программе курса, формате обучения и выпускном проекте; - расскажем о карьерных перспективах. Вебинар рассчитан на разработчиков, знающих азы Python, JavaScript и html/css. Регистрируйтесь сейчас - напомним в день вебинара!

Building an Analytics Dashboard with Django https://morioh.com/p/88d6fc714f52

Typed functional Dependency Injection in Python https://sobolevn.me/2020/02/typed-functional-dependency-injection

DevOps in Python - 2019 @pythonlbooks

Deploy Flask Apps to AWS Elastic Beanstalk using Travis CI https://camillovisini.com/flask-deployment-aws-elastic-beanstalk-travis-ci/

The Top Hidden Features in Python - Maybe you don't know https://morioh.com/p/827d1dde39dd

Django Vs Flask: Which is better for your Web Application? https://morioh.com/p/7c87f3b8271e

Django Project Blueprints @pythonlbooks

The complete PyQt5 tutorial — Create GUI applications with Python https://www.learnpyqt.com/

25 Lines of Python Code for Face Detection-OpenCV Technical Tutorial https://morioh.com/p/f490fdc285b1

OTUS приглашает на бесплатные вебинары по Python: — 13 февраля, 20:00 МСК: «Аннотируй это: а так ли нужна аннотация типов в Python». Урок проведёт преподаватель-практик курса Сергей Нагаев. Регистрируйтесь и пройдите вступительный тест: https://otus.pw/6IkL/ — 14 февраля, 20:00 МСК: «Тестирование Flask приложений: генерация тестовых данных с Faker и Factory Boy» в рамках курса «Web-разработчик на Python». Урок проводит преподаватель-практик курса Леонид Орлов. Регистрируйтесь сейчас — напомнят в день вебинара: https://otus.pw/385W/

Django 3 Authentication with a MySQL Database— Login, Logout and Password Change/Reset https://www.techiediaries.com/django/django-3-authentication-with-login-logout-and-password-reset-views/

Flask by example @pythonl

Use a Flask Blueprint to Architect Your Applications – Real Python https://realpython.com/flask-blueprint/