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Python/ django

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

Network: MachinelearningRussia10 292Technologies & Applications2 244...

📈 Analytical overview of Telegram channel Python/ django

Channel Python/ django (@pythonl) in the Russian language segment is an active participant. Currently, the community unites 58 382 subscribers, ranking 2 244 in the Technologies & Applications category and 10 292 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 58 382 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -248 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.91%. Within the first 24 hours after publication, content typically collects 3.11% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 452 views. Within the first day, a publication typically gains 1 813 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
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 @workakkk @itchannels_telegram - 🔥 все ит каналы @ai_machinelearning_big_data -ML @ArtificialIntelligencedl -AI @datascienceiot - 📚 @pythonlbooks РКН: clck.ru/3Fm...”

Thanks to the high frequency of updates (latest data received on 05 November, 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.

58 382

Subscribers

-1024 hours

-1547 days

-24830 days

3 452

Post views

~ 1 81324 hours

~ 2 26348 hours

5.91%

Engagement rate

~ 1

Posts per day

Ads index

Posts Archive

58 382

How to run uWSGI https://blog.ionelmc.ro/2022/03/14/how-to-run-uwsgi/ @pythonl

58 382

🐼 Analyzing intraday and overnight stock returns with pandas https://www.wrighters.io/analyzing-intraday-and-overnight-stock-returns-with-pandas/ @pythonl

58 382

Unravelling Python's classes https://snarky.ca/unravelling-pythons-classes/ @pythonl

58 382

Газпромбанк обновил мобильное приложение 📲 Дизайн стал лаконичнее, навигация — понятнее, а все привычные продукты остались под рукой. Еще попрощались с названием «Телекард 2.0». Теперь просто: Газпромбанк. Это первый этап глобальных изменений приложения. Дальше — больше 💪 Присоединяйтесь к команде IT-специалистов Газпромбанка и меняйте один из крупнейших банков страны. Актуальные вакансии > https://vk.cc/cbMBcT

58 382

Repost from Python tests

result of code?

Anonymous voting

58 382

Repost from Python tests

@python_testit

58 382

An introduction to Pydbantic — a single model solution to Data Verification & Storage https://itnext.io/an-introduction-to-pydbantic-a-single-model-solution-to-data-verification-storage-254cfe9e757f @pythonl

58 382

Empty a Dictionary in Python https://www.pythonforbeginners.com/basics/empty-a-dictionary-in-python @pythonl

58 382

A Gentle Introduction to Serialization for Python https://machinelearningmastery.com/a-gentle-introduction-to-serialization-for-python/ @pythonl

58 382

How to create a generator function https://www.pythonmorsels.com/how-to-create-a-generator-function/ @pythonl

58 382

Repost from Python tests

result of code ?

Anonymous voting

58 382

Repost from Python tests

@python_testit

58 382

Python List index() https://itsmycode.com/python-list-index/ @pythonl

58 382

Argos Translate Open-source offline translation library written in Python Github: https://github.com/argosopentech/argos-translate Docs: https://argos-translate.readthedocs.io/en/latest/ Project: https://www.argosopentech.com/ @pythonl

58 382

Intersection of Lists in Python https://www.pythonforbeginners.com/basics/intersection-of-lists-in-python @pythonl

58 382

Hello everyone. My name is Andrew and for several years I've been working on to make the learning path for ML easier. I wrote a manual on machine learning that everyone understands - Machine Learning Simplified Book. The main purpose of my book is to build an intuitive understanding of how algorithms work through basic examples. In order to understand the presented material, it is enough to know basic mathematics and linear algebra. After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical professionals. And for those who find the theoretical part not enough - I supplemented the book with a repository on GitHub, which has Python implementation of every method and algorithm that I describe in each chapter. You can read the book absolutely free at the link below: -> https://themlsbook.com I’ve also started my Instagram page - feel free to subscribe! it’s mostly in Russian but I’ll be posting in English too. -> https://instagram.com/5x12

58 382

⬛️ Test-Driven Data Analysis (Python TDDA library) Code: https://github.com/tdda/tdda Docs: http://tdda.readthedocs.io @pythonl

58 382

📖 How to Download Books Concurrently from Project Gutenberg https://superfastpython.com/threadpoolexecutor-download-books/ @pythonl

58 382

How to Deploy a Jupyter Notebook to Docker https://dev.to/edemgold/how-to-deploy-a-jupyter-notebook-to-docker-4glb @pythonl