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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

Network: Machine Learning with PythonIndia9 131Technologies & Applications3 309...

📈 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 40 895 subscribers, ranking 3 309 in the Technologies & Applications category and 9 131 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 895 subscribers.

According to the latest data from 12 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 88 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.87%. Within the first 24 hours after publication, content typically collects 0.89% reactions from the total number of subscribers.
Post reach: On average, each post receives 763 views. Within the first day, a publication typically gains 362 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 13 November, 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.

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40 895

Subscribers

+824 hours

+57 days

+8830 days

763

Post views

~ 36224 hours

~ 45648 hours

1.87%

Engagement rate

~ 1

Posts per day

Ads index

Posts Archive

40 897

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

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Machine Learning With Python — Matt Algore 2021 Invite your friends 🌹🌹 @DataScience_Books

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Machine Learning With Python — Matt Algore 2021 👇👇👇👇👇

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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

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MySQL and JSON Invite your friends 🌹🌹 @DataScience_Books

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MySQL and JSON 👇👇👇👇👇

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

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Natural Language Processing in Artificial Intelligence Authors: Brojo Kishore Mishra, Raghvendra Kumar Year: 2020 👇👇👇👇👇

40 897

Natural Language Processing with Python and spaCy: A Practical Introduction Invite your friends 🌹🌹 @DataScience_Books

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Natural Language Processing with Python and spaCy: A Practical Introduction Authors: Yuli Vasiliev Year: 2020 Edition: 1 👇👇👇👇👇

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Ten Quick Tips for Deep Learning in Biology Github: https://github.com/Benjamin-Lee/deep-rules Paper: https://arxiv.org/abs/2105.14372v1 Invite your friends 🌹🌹 @DataScience_Books

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🏎 Make Pandas 3 Times Faster with PyPolars Code : https://www.kdnuggets.com/2021/05/pandas-faster-pypolars.html Github: https://github.com/pola-rs/polars User Guide: https://pola-rs.github.io/polars-book Invite your friends 🌹🌹 @DataScience_Books

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Statistical Regression and Classification From Linear Models to Machine Learning Invite your friends 🌹🌹 @DataScience_Books

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Statistical Regression and Classification From Linear Models to Machine Learning 👇👇👇👇👇

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Neural networks and deep learning: a textbook Invite your friends 🌹🌹 @DataScience_Books

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Neural networks and deep learning: a textbook 👇👇👇👇👇

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Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python Invite your friends 🌹🌹 @DataScience_Books

40 897

Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python 👇👇👇👇👇

40 897

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Invite your friends 🌹🌹 @DataScience_Books

40 897

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 👇👇👇👇👇