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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 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
🔥New models in 17 and 100 languages XLM/mBERT pytorch LM supports multi-GPU and multi-node training https://github.com/facebookresearch/XLM#pretrained-cross-lingual-language-models

Heartrate - real-time visualization of code execution. Observe your Python code with this tool. Python 3.5+ https://github.com/alexmojaki/heartrate

How to solve a problem effectively? In today 2019 most developer not know how to solve problems effectively. I noticed most of my students don't know what is problem solving. Problem solving is "The process of working through details of a problem to reach a solution." You think how to solve a single problem, well we face a real life problem for example how to cut a tree in this case the solution is many but one effective and affordable solution we apply. Same as in any problem in coding industries we apply best solutions to our problem. Most of the coders don't see how to problem solve but they focused on Syntex they learn in the past. So how this article helpful to you? Share this little article to your other channals and coding discussion group so they don't mistake to solve a problem. #motivation #coding @deliciouspy🍝

Try Django Tutorial (v2.2) - Build a Web Application with Python Framework #Python #Django #Morioh https://www.youtube.com/watch?v=0CBZenN-b6w

🔥 New Releases: PyTorch 1.2, torchtext 0.4, torchaudio 0.3, and torchvision 0.4 https://pytorch.org/blog/pytorch-1.2-and-domain-api-release/ https://github.com/pytorch/pytorch/releases

How to Make Histograms in Pure Python https://www.youtube.com/watch?v=OpTwGLVCtHQ

Best Python Libraries For Data Science & Machine Learning | Data Science Python https://www.youtube.com/watch?v=LepMvJdr2-w

Image Filters in Python I am currently working on a computer vision project and I wanted to look into image pre-processing to help improve the machine learning https://medium.com/@m4nv1r5/image-filters-in-python-26ee938e57d2?source=topic_page---------0------------------1

How To Make a Chatbot in Python https://www.youtube.com/watch?v=tSjR7bk1Y9U

Python NumPy Tutorial for Beginners https://www.youtube.com/watch?v=QUT1VHiLmmI

Shipping your first Python package and automating future publishing" - Chris Wilcox (PyCon AU 2019) https://www.youtube.com/watch?v=nietrteetKQ

Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. https://github.com/EpistasisLab/tpot

Python/ django - Statistics & analytics of Telegram channel @pythonl