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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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πŸ“ˆ Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 39 481 subscribers, ranking 3 407 in the Technologies & Applications category and 9 923 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 39 481 subscribers.

According to the latest data from 05 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 345 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 1.23%. Within the first 24 hours after publication, content typically collects 1.09% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 484 views. Within the first day, a publication typically gains 430 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 06 July, 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.

39 481
Subscribers
+1024 hours
+727 days
+34530 days
Posts Archive
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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective Techniques for Processing Complex Image Data in Real
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XCiT: Cross-Covariance Image Transformers Github: https://github.com/facebookresearch/xcit Paper: https://arxiv.org/abs/2106.
XCiT: Cross-Covariance Image Transformers Github: https://github.com/facebookresearch/xcit Paper: https://arxiv.org/abs/2106.09681v1 Invite your friends 🌹🌹 @DataScience_Books

SimSwap: An Efficient Framework For High Fidelity Face Swapping! 😯 πŸ‘‰πŸΌ GitHub repo: https://github.com/neuralchen/SimSwap οΏ½
SimSwap: An Efficient Framework For High Fidelity Face Swapping! 😯 πŸ‘‰πŸΌ GitHub repo: https://github.com/neuralchen/SimSwap πŸ‘‰πŸΌ Paper: https://arxiv.org/pdf/2106.06340v1.pdf Invite your friends 🌹🌹 @DataScience_Books

Beginning Machine Learning in the Browser (2021) Invite your friends 🌹🌹 @DataScience_Books

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Learning SQL, Third Edition Share with your friends and colleagues 🌹🌹 @DataScience_Books

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⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks Github: https://github.com/pysentimiento/pysen
⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks Github: https://github.com/pysentimiento/pysentimiento Paper: https://arxiv.org/abs/2106.09462 English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis Share with your friends and colleagues 🌹🌹 @DataScience_Books

Machine Learning cheatsheet (very important) https://t.me/CodeProgrammer

RoadMap: Machine Learning https://t.me/CodeProgrammer

RoadMap: Porbability and Statistics https://t.me/CodeProgrammer

RoadMap: NLP Based On Deep Learning https://t.me/CodeProgrammer

RoadMap: Text Mining (NLP Background) https://t.me/CodeProgrammer

Machine learning in cognitive IoT Share with your friends and colleagues 🌹🌹 @DataScience_Books

Machine learning in cognitive IoT Authors: Kumar, Neeraj; Makkar, Aaisha Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
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