en
Feedback

Don't get caught by a cheater! Telemetrio finds and tags such channels πŸ‘‰ If you want to see the tag, subscribe

Learn Python Coding

Learn Python Coding

Open in Telegram

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

Show more

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 40 897 subscribers, ranking 3 311 in the Technologies & Applications category and 9 151 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 40 897 subscribers.

According to the latest data from 11 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 109 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.80%. Within the first 24 hours after publication, content typically collects 0.88% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 736 views. Within the first day, a publication typically gains 358 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 12 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.

Buy Ad
40 897
Subscribers
-124 hours
-127 days
+10930 days
Posts Archive
Codeless Deep Learning with KNIME πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Codeless Deep Learning with KNIME πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

KNIME Advanced Luck A Guide to KNIME Analytics Platform for Advanced Users Invite your friends 🌹🌹 @DataScience_Books

KNIME Advanced Luck A Guide to KNIME Analytics Platform for Advanced Users πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
KNIME Advanced Luck A Guide to KNIME Analytics Platform for Advanced Users πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow Invite your friends 🌹🌹 @DataScience_Books

Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Mastering Machine Learning on AWS: Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Machine learning with R Invite your friends 🌹🌹 @DataScience_Books

Machine learning with R πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Machine learning with R πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

python-ml-beginners-scikitlearn.epub11.22 MB

Python Machine Learning for beginners Invite your friends 🌹🌹 @DataScience_Books

Python Machine Learning for beginners πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Python Machine Learning for beginners πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

What is the output using Python? a,a=2,3 print(a)
Anonymous voting

πŸŒ€ CycleMLP: A MLP-like Architecture for Dense Prediction Github: https://github.com/ShoufaChen/CycleMLP Paper: https://arxiv
πŸŒ€ CycleMLP: A MLP-like Architecture for Dense Prediction Github: https://github.com/ShoufaChen/CycleMLP Paper: https://arxiv.org/abs/2107.10224 Dataset: https://paperswithcode.com/dataset/imagenet Invite your friends 🌹🌹 @DataScience_Books

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision Github: https://github.c
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision Github: https://github.com/Vanint/TADE-AgnosticLT Paper: https://arxiv.org/abs/2107.09249v1 Dataset: https://paperswithcode.com/dataset/cifar-10 Invite your friends 🌹🌹 @DataScience_Books

Introduction to Scientific Programming with Python Invite your friends 🌹🌹 @DataScience_Books

Introduction to Scientific Programming with Python πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Introduction to Scientific Programming with Python πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Graph Machine Learning Invite your friends 🌹🌹 @DataScience_Books

Graph Machine Learning πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Graph Machine Learning πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Kubeflow_for_Machine_Learning_From_Lab_to_Production_by_Trevor_Grant.pdf13.95 MB

intro-to-ml-with-kubeflow-examples-master_code.zip1.86 KB