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 Python India9 931 Technologies & Applications3 410...

📈 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.

📊 Audience metrics and dynamics

Since its creation on невідомо, 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.

📝 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 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

530

Post views

~ 45124 hours

~ 61148 hours

1.34%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

39 487

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

39 487

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

39 487

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

39 487

🏎 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

39 487

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

39 487

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

39 487

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

39 487

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

39 487

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

39 487

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

39 487

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

39 487

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

39 487

Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection Invite your friends 🌹🌹 @DataScience_Books

39 487

Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection 👇👇👇👇👇

39 487

📚 Convolutional Neural Networks in Visual Computing: A Concise Guide Invite your friends 🌹🌹 @DataScience_Books

39 487

Convolutional Neural Networks in Visual Computing: A Concise Guide 👇👇👇👇👇

39 487

Python beginner to pro 2020 Invite your friends 🌹🌹 @DataScience_Books

39 487

Python beginner to pro 2020 👇👇👇👇👇

39 487

The pytorch re-implement of the official EfficientDet with SOTA performance in real time Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch Paper: https://arxiv.org/abs/2105.12971v1 Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial Invite your friends 🌹🌹 @DataScience_Books

39 487

Hands On Google Cloud SQL and Cloud Spanner Invite your friends 🌹🌹 @DataScience_Books