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 245 Technologies & Applications2 215...

📈 Analytical overview of Telegram channel Python/ django

Channel Python/ django (@pythonl) in the Russian language segment is an active participant. Currently, the community unites 59 929 subscribers, ranking 2 215 in the Technologies & Applications category and 10 245 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 59 929 subscribers.

According to the latest data from 16 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -568 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.81%. Within the first 24 hours after publication, content typically collects 3.01% reactions from the total number of subscribers.
Post reach: On average, each post receives 4 678 views. Within the first day, a publication typically gains 1 806 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 17 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.

59 929

Subscribers

-524 hours

-967 days

-56830 days

4 678

Post views

~ 1 80624 hours

~ 2 26548 hours

7.81%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

59 928

Using Feedparser in Python https://www.pythonforbeginners.com/feedparser/using-feedparser-in-python @pythonl

59 928

NumPy views: saving memory, leaking memory, and subtle bugs https://pythonspeed.com/articles/numpy-memory-views/ @pythonl

59 928

PyTorch Pocket Reference (2021) 📖 Book @pythonlbooks

59 928

Python Program to Illustrate Different Set Operations https://www.programiz.com/python-programming/examples/set-operation @pythonl

59 928

🔝 Classes in Python https://www.pythonforbeginners.com/basics/classes-in-python @pythonl

59 928

📱 Python Program to Compute all the Permutation of the String https://www.programiz.com/python-programming/examples/permutation-of-string @pythonl

59 928

https://t.me/pro_python_code - Python RU

59 928

🐍 Python Program to Check If Two Strings are Anagram https://www.programiz.com/python-programming/examples/anagram @pythonl

59 928

Supporting Multiple Languages in Django https://testdriven.io/blog/multiple-languages-in-django/ @pythonl

59 928

How to Join/Concatenate/Append Strings in Python https://stackabuse.com/how-to-join-concatenate-append-strings-in-python @pythonl

59 928

The Unknown Features of Python's Operator Module https://dev.to/martinheinz/the-unknown-features-of-python-s-operator-module-23p4 @pythonl

59 928

How To Calculate Stocks Support And Resistance Using Clustering https://www.nbshare.io/notebook/190163492/How-To-Calculate-Stocks-Support-And-Resistance-Using-Clustering/ @pythonl

59 928

Map and Filter in Python https://www.pythonmorsels.com/topics/map-and-filter-python/ @pythonl

59 928

Your First Steps With Django: Set Up a Django Project https://realpython.com/django-setup/ @pythonl

59 928

K-Means Clusternig Example with Python and Scikit-learn https://morioh.com/p/aac257bf2d4c Code: https://github.com/Peyxw/Unsupervised-Machine-Learning @pythonl

59 928

How to Highlight and Redact Text in PDF Files with Python https://www.thepythoncode.com/article/redact-and-highlight-text-in-pdf-with-python @pythonl

59 928

Узнайте больше о специальности Data Warehouse Analyst на встрече с Senior Data Engineer Артемием Козырем. 28 июля ждем вас на вебинаре, где Артемий расскажет о навыках и задачах, которые появились на стыке деятельности дата инженера и аналитика данных. Также вы познакомитесь с программой онлайн-курса «Data Warehouse Analyst» и форматом обучения в OTUS. В конце встречи у вас будет возможность занять место в группе по спец.цене. Регистрация на вебинар: https://otus.pw/qLQL/

59 928

How to reverse a string in Python https://www.pythonforbeginners.com/basics/how-to-reverse-a-string-in-python @pythonl

59 928

Best machine learning tutorials: @ai_machinelearning_big_data - Usufull machine learning resourses: https://t.me/datascienceiot Artificial intelligence articles: @ArtificialIntelligencedl Machine learning RU: https://t.me/machinelearning_ru ML chat: https://t.me/machinee_learning Free python books: https://t.me/pythonlbooks

59 928

How to reverse a list in Python https://www.pythonforbeginners.com/lists/how-to-reverse-a-list-in-python @pythonl