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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 39 482 subscribers, ranking 3 410 in the Technologies & Applications category and 9 931 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 39 482 subscribers.

According to the latest data from 06 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 361 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.34%. Within the first 24 hours after publication, content typically collects 1.14% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 530 views. Within the first day, a publication typically gains 451 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 07 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.

39 482
Subscribers
+924 hours
+797 days
+36130 days
Posts Archive
Python True Book Invite your friends 🌹🌹 @DataScience_Books

Python True Book Authors: Jon Rulta Year: 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Python True Book Authors: Jon Rulta Year: 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Python Deep Learning, Second Edition Invite your friends 🌹🌹 @DataScience_Books

Python Deep Learning, Second Edition πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Python Deep Learning, Second Edition πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Decision Transformer Github: https://github.com/kzl/decision-transformer Paper: https://arxiv.org/abs/2106.01345 Invite your
Decision Transformer Github: https://github.com/kzl/decision-transformer Paper: https://arxiv.org/abs/2106.01345 Invite your friends 🌹🌹 @DataScience_Books

You Only One Sequence Rethinking Transformer in Vision through Object Detection Github: https://paperswithcode.com/paper/you-
You Only One Sequence Rethinking Transformer in Vision through Object Detection Github: https://paperswithcode.com/paper/you-only-look-at-one-sequence-rethinking Dataset: https://paperswithcode.com/dataset/imagenet Paper: https://arxiv.org/abs/2106.00666 Invite your friends 🌹🌹 @DataScience_Books

Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras Invite your friends 🌹🌹 @DataScience_Books

Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Python Data Analysis Invite your friends 🌹🌹 @DataScience_Books

Python Data Analysis Authors: Avinash Navlani, Armando Fandango, Ivan Idris Year: 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Python Data Analysis Authors: Avinash Navlani, Armando Fandango, Ivan Idris Year: 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

πŸ“š Machine Learning With Python For Everyone Invite your friends 🌹🌹 @DataScience_Books

Machine Learning With Python For Everyone Authors: Mark E. Fenner Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Machine Learning With Python For Everyone Authors: Mark E. Fenner Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

1Γ—N Block Pattern for Network Sparsity Github: https://github.com/lmbxmu/1xN Paper: https://arxiv.org/abs/2105.14713 Invite y
1Γ—N Block Pattern for Network Sparsity Github: https://github.com/lmbxmu/1xN Paper: https://arxiv.org/abs/2105.14713 Invite your friends 🌹🌹 @DataScience_Books

Machine Learning With Python β€” Matt Algore 2021 Invite your friends 🌹🌹 @DataScience_Books

Machine Learning With Python β€” Matt Algore 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Machine Learning With Python β€” Matt Algore 2021 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

NLP course: A Code-First Introduction to Natural Language Processing by fast.ai This course was originally taught in the University of San Francisco MS in Data Science program. This course teaches: - Whats NLP? - Regex, SVD - Naive bayes, tokenization - Neural network approaches like RNNs,seq2seq, attention and transformers arch. - Bias, disinformation and ethics - Seq2Seq translation and the Transformer - Transfer learning for NLP YouTube Playlist: https://youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9 Invite your friends 🌹🌹 @DataScience_Books

MySQL and JSON Invite your friends 🌹🌹 @DataScience_Books

MySQL and JSON πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
MySQL and JSON πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

​Natural Language Processing in Artificial Intelligence Invite your friends 🌹🌹 @DataScience_Books

​Natural Language Processing in Artificial Intelligence Authors: Brojo Kishore Mishra, Raghvendra Kumar Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
​Natural Language Processing in Artificial Intelligence Authors: Brojo Kishore Mishra, Raghvendra Kumar Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡