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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 39 469 subscribers, ranking 3 403 in the Technologies & Applications category and 9 949 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 39 469 subscribers.

According to the latest data from 04 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 356 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.27%. 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 502 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 05 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.

39 469
Subscribers
+724 hours
+737 days
+35630 days
Posts Archive
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πŸ‡¬πŸ‡§ Which platform is better in your opinion? πŸ‡ΈπŸ‡¦ اي Ω…Ω†Ψ΅Ψ© افآل في Ψ±Ψ£ΩŠΩƒΨŸ
Anonymous voting

Pyramid Vision Transformer Image classification, object detection, and semantic segmentation tasks Github: https://github.com
Pyramid Vision Transformer Image classification, object detection, and semantic segmentation tasks Github: https://github.com/whai362/PVT Paper: https://arxiv.org/abs/2106.13797v2 Invite your friends 🌹🌹 @DataScience_Books

CAMS: Color-Aware Multi-Style Transfer Github: https://github.com/mahmoudnafifi/color-aware-style-transfer Paper: https://arx
CAMS: Color-Aware Multi-Style Transfer Github: https://github.com/mahmoudnafifi/color-aware-style-transfer Paper: https://arxiv.org/abs/2106.13920v1 Invite your friends 🌹🌹 @DataScience_Books

Deep Learning for Computer Vision (DL4CV) by WIAC, Spring 2021 https://youtube.com/playlist?list=PLUgbVHjDharjSSHF1EQq6h8FFp4XEX5AF

Building Micro-Frontends, early release Invite your friends 🌹🌹 t.me/DataScience_Books

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Mastering PostgreSQL 13, 4th Edition Invite your friends 🌹🌹 @DataScience_Books

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Cartoon-StyleGan2 πŸ™ƒ : Fine-tuning StyleGAN2 for Cartoon Face Generation Github: https://github.com/happy-jihye/Cartoon-StyleGan2 Paper: https://arxiv.org/abs/2106.12445 Colab: https://colab.research.google.com/github/happy-jihye/Cartoon-StyleGan2/blob/main/Cartoon_StyleGAN2.ipynb Invite your friends 🌹🌹 @DataScience_Books

VOLO: Vision Outlooker for Visual Recognition Github: https://github.com/sail-sg/volo Paper: https://arxiv.org/abs/2106.13112
VOLO: Vision Outlooker for Visual Recognition Github: https://github.com/sail-sg/volo Paper: https://arxiv.org/abs/2106.13112 Invite your friends 🌹🌹 @DataScience_Books

Machine Learning with Python Invite your friends 🌹🌹 t.me/DataScience_Books

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Hands-On_Machine_Learning_with_scikit-learn_Code.zip8.22 MB

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits https://t.me/CodeProgrammer

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πŸ“˜ D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Github: https://github.com/d2l-ai/d2l-en Book: https://d2l.ai/ Paper: https://arxiv.org/abs/2106.11342v1 Invite your friends 🌹🌹 @DataScience_Books

How to Run #Jupyter_NoteBook On #Android Devices? Full answer here πŸ‘‡πŸ‘‡ https://t.me/CodeProgrammer/419?single