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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 39 450 subscribers, ranking 3 432 in the Technologies & Applications category and 9 966 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 39 450 subscribers.

According to the latest data from 01 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 377 over the last 30 days and by 14 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.22%. Within the first 24 hours after publication, content typically collects 1.20% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 480 views. Within the first day, a publication typically gains 472 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 02 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.

39 450
Subscribers
+1424 hours
+1017 days
+37730 days
Posts Archive
Computer Vision: Algorithms and Applications (2022) Invite your friends 🌹🌹 @DataScience_Books

Computer Vision: Algorithms and Applications (2022) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
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✨ Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning Github: https://github.com/sense-x/unif
✨ Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning Github: https://github.com/sense-x/uniformer Paper: https://arxiv.org/abs/2201.04676v1 Tasks: https://paperswithcode.com/dataset/kinetics-600 Invite your friends 🌹🌹 @DataScience_Books

Artificial Intelligence and Machine Learning (2022) Invite your friends 🌹🌹 @DataScience_Books

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Artificial Intelligence and Machine Learning (2022) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

πŸ“Œ Fully Adaptive Bayesian Algorithm for Data Analysis Github: https://github.com/pablomsanala/fabada Paper: https://arxiv.or
πŸ“Œ Fully Adaptive Bayesian Algorithm for Data Analysis Github: https://github.com/pablomsanala/fabada Paper: https://arxiv.org/abs/2201.05145v1 Demo: https://github.com/PabloMSanAla/fabada Invite your friends 🌹🌹 @DataScience_Books

β›“ ConvNeXt, a pure ConvNet model constructed entirely from standard ConvNet modules. Github: https://github.com/facebookresea
β›“ ConvNeXt, a pure ConvNet model constructed entirely from standard ConvNet modules. Github: https://github.com/facebookresearch/ConvNeXt Paper: https://arxiv.org/abs/2201.03545v1 Dataset: https://paperswithcode.com/dataset/ade20k Invite your friends 🌹🌹 @DataScience_Books

Informatics and Machine Learning (2022) Invite your friends 🌹🌹 @DataScience_Books

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Practical Explainable AI Using Python (2022) Invite your friends 🌹🌹 @DataScience_Books

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Introduction to Digital Music with Python Programming (2022) Invite your friends 🌹🌹 @DataScience_Books

Introduction to Digital Music with Python Programming (2022) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
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βœ”οΈ Python library with Neural Networks for Image Segmentation based on Keras and TensorFlow. Github: https://github.com/qubve
βœ”οΈ Python library with Neural Networks for Image Segmentation based on Keras and TensorFlow. Github: https://github.com/qubvel/segmentation_models Paper: https://arxiv.org/abs/2201.02107v1 Tasks: https://paperswithcode.com/task/semantic-segmentation Invite your friends 🌹🌹 @DataScience_Books

Deep Learning Interviews (2020) Invite your friends 🌹🌹 @DataScience_Books

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VLSI and Hardware Implementations using Modern Machine Learning Methods (2022) Invite your friends 🌹🌹 @DataScience_Books

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Data science and machine learning (2020) Invite your friends 🌹🌹 @DataScience_Books

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