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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 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
Posts Archive
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Академия Яндекса впервые проведет Открытый лекторий https://clck.ru/sKUYk. Это бесплатный образовательный проект, где можно прокачаться по востребованным IT-направлениям: • разработка интерфейсов; • бэкенд-разработка на Python и Java; • мобильная разработка на Android, iOS и Flutter; • маркетинг в IT и управление проектами и продуктами. В программе более 100 вебинаров: это и традиционные лекции, и семинары с разбором реальных бизнес-кейсов вместе с топовыми экспертами Яндекса, которые создают и продвигают сервисы для миллионов людей. Каждый сможет выбрать занятия из разных блоков и составить свою уникальную программу. Сегодня в 19:15 по мск состоится открытие - https://www.youtube.com/watch?v=Cr_WwzjSJOI), Даша Золотухина, HRD Яндекса, начнет мероприятие, поделится историей Школ, а руководители Школ расскажут о том, как получить максимум от обучения, подсветят вдохновляющие кейсы, покажут статистику и поговорят про программу.

What will be the output of the following code?
Anonymous voting

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🕸 PyWebCopy PyWebCopy is a free tool for copying full or partial websites locally onto your hard-disk for offline viewing. ⚙
🕸 PyWebCopy PyWebCopy is a free tool for copying full or partial websites locally onto your hard-disk for offline viewing. ⚙ Github: https://github.com/rajatomar788/pywebcopy 🗒 Docs: https://pypi.org/project/pywebcopy/ @pythonl

Object Detection Using Mask R-CNN with TensorFlow 2.0 and Keras. https://blog.paperspace.com/mask-r-cnn-tensorflow-2-0-keras/ Mask_RCNN project: https://github.com/matterport/Mask_RCNN @pythonl

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Просто огромная база книг по Python и ничего лишнего🚀 Подписывайтесь — https://t.me/python_textbooks
Просто огромная база книг по Python и ничего лишнего🚀 Подписывайтесь — https://t.me/python_textbooks

🔥 Matplotlib cheat sheets Github @pythonl
🔥 Matplotlib cheat sheets Github @pythonl

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🗒 OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted. Code Docs @pythonl
🗒 OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted. Code Docs @pythonl

CircuitPython CircuitPython is a beginner friendly, open source version of Python for tiny, inexpensive computers called micr
CircuitPython CircuitPython is a beginner friendly, open source version of Python for tiny, inexpensive computers called microcontrollers. GitHub Documents #Python #Interesting @pythonl