Python/ django

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по всем вопросам @haarrp @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3FmxmM

Network:Machinelearning Russia10 246 Technologies & Applications2 212...

📈 Analytical overview of Telegram channel Python/ django

Channel Python/ django (@pythonl) in the Russian language segment is an active participant. Currently, the community unites 59 891 subscribers, ranking 2 212 in the Technologies & Applications category and 10 246 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 59 891 subscribers.

According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -532 over the last 30 days and by -13 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 8.63%. Within the first 24 hours after publication, content typically collects 3.23% reactions from the total number of subscribers.
Post reach: On average, each post receives 5 167 views. Within the first day, a publication typically gains 1 933 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 29.
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 19 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.

59 891

Subscribers

-1324 hours

-1007 days

-53230 days

5 167

Post views

~ 1 93324 hours

~ 2 47848 hours

8.63%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

59 883

Learn and Practice Python in 7 Days From Zero To Hero: Learn Python Step by Step,Learn Python in 7 days @pythonlbooks

59 883

6 Examples to Demystify Python locals() Function https://www.pythonpool.com/python-locals/ @pythonl

59 883

Guide to Using The Django MongoDB Engine with Python https://stackabuse.com/guide-to-using-the-django-mongodb-engine/ @pythonl

59 883

Shallow copy and deep copy in Python https://www.pythonforbeginners.com/functions/shallow-copy-and-deep-copy-in-python @pythonl

59 883

TEST DJANGO APPS QUICKLY https://www.codementor.io/@alakaolaide/test-django-apps-quickly-1h5akbw0i7 @Django_pythonl

59 883

Making an auto-updating attribute https://www.pythonmorsels.com/topics/making-auto-updating-attribute/ @pythonl

59 883

Deploying a Python Flask Example Application Using Heroku https://realpython.com/flask-by-example-part-1-project-setup/ @pythonl

59 883

A Youtube-dl GUI Written in PyQt https://morioh.com/p/abca30282407 Code: https://github.com/yasoob/youtube-dl-GUI @pythonl

59 883

Radix Sort in Python https://stackabuse.com/radix-sort-in-python/ @pythonl

59 883

How to Perform Voice Gender Recognition using TensorFlow in Python https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python Code: https://www.thepythoncode.com/code/gender-recognition-by-voice-using-tensorflow-in-python#test-py @ai_machinelearning_big_data

59 883

Awesome Python Applications https://github.com/mahmoud/awesome-python-applications @pythonl

59 883

Basic Tutorial: Using Docker and Python https://www.codementor.io/@adammertz/basic-tutorial-using-docker-and-python-1gxmzm43k2 @pythonl

59 883

Хотите связать свою карьеру с нейросетями? Или вы Data Scientist с опытом и хотите освоить новые технологии? Тогда предлагаем вам курсы "Deep learning. Basic" и "Computer vision"! 📍Выберите курс и пройдите тестирование, чтобы: ● оценить свои навыки ● занять место на курсе по специальной цене ● получить доступ к демо-урокам курса 👉🏻Пройти тестирование "Deep learning. Basic": https://otus.pw/oLzyY/ 👉🏻Пройти тестирование "Computer vision": https://otus.pw/B0QE/

59 883

Python Map Function – How to Map a List in Python 3.0, With Example Code https://www.freecodecamp.org/news/python-map-function-how-to-map-a-list-in-python-3-0-with-example-code/ @pythonl

59 883

📢 Online Python Meetup. 22 апреля пройдет завершающий онлайн митап, дальше все митапы будут проходить оффлайн в Москве. Программа: 19:00 Григорий Петров (DevRel в Evrone): «Управление зависимостями в Python: история боли» 19:45 Алексей Фирсов (Руководитель Python практики в S7 techlab): «Как правильно выбрать инструмент» 20:30 Илья Лебедев (CTO в Zipsale): «Ну и вонь: зачем нужны чистые функции» 📆 22 апреля в 19:00 📌 Платформа проведения: tulu.la 🌎 Формат online 🆓 Участие бесплатное ✉ Регистрация обязательна: https://railsclub.timepad.ru/event/1561920/?utm_source=tg&utm_medium=pythonl 😎 Организатор: Evrone.com

59 883

Generic Composite in Python https://python.plainenglish.io/generic-composite-in-python-4b88d6727ad0 @pythonl

59 883

How to use code coverage in Python with pytest? https://breadcrumbscollector.tech/how-to-use-code-coverage-in-python-with-pytest/ @pythonl

59 883

A Boids Simulation Written in Python with Pygame - PyNBoids https://morioh.com/p/2c771588f648 Code: https://github.com/Nikorasu/PyNBoids @pythonl

59 883

Неважно с какими трудностями вы столкнулись при работе с Python. На канале Zen of Python вы обязательно найдёте решение, ведь здесь множество полезных статей, видео и туториалов. Подписывайтесь: @zen_of_python

59 883

How to Get Domain Name Information in Python https://www.thepythoncode.com/article/extracting-domain-name-information-in-python @pythonl