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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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📈 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 40 903 subscribers, ranking 3 283 in the Technologies & Applications category and 9 116 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 903 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 252 over the last 30 days and by 21 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.06%. Within the first 24 hours after publication, content typically collects 0.96% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 069 views. Within the first day, a publication typically gains 391 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • 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 05 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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40 903
Subscribers
+2124 hours
+307 days
+25230 days
Posts Archive
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📚 Learning Ray (2023) 🔗 Download Link: https://file.lu/d/1QJb 💬 Tags: #RAY ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_B
📚 Learning Ray (2023) 🔗 Download Link: https://file.lu/d/1QJb 💬 Tags: #RAY ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

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📚 Python by Example (2022) 🔗 Download Link: https://file.lu/d/1XiC 💬 Tags: #python ⛔️ ➕ interaction = ➕ books ✅ By: @DataS
📚 Python by Example (2022) 🔗 Download Link: https://file.lu/d/1XiC 💬 Tags: #python ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

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📚 Training Data for Machine Learning (2023) 🔗 Download Link: https://filelu.com/7f473pvrg2kj 💬 Tags: #machineLearning ⛔️ ➕
📚 Training Data for Machine Learning (2023) 🔗 Download Link: https://filelu.com/7f473pvrg2kj 💬 Tags: #machineLearning ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

Join DataScienceT on Telegram for the latest news, articles, and tips on data science. Our channel is dedicated to providing
Join DataScienceT on Telegram for the latest news, articles, and tips on data science. Our channel is dedicated to providing you with the best resources to help you stay ahead in this rapidly evolving field. Whether you're a beginner or an experienced data scientist, our channel offers something for everyone. Join us today! https://t.me/DataScienceT

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📚 Machine Learning for High-Risk Applications (2023) 🔗 Download Link: https://file.lu/d/1Xel 💬 Tags: #machineLearning ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

📚 Network Automation with Go (2023) 🔗 Download Link: https://hypershort.com/hwRw 💬 Tags: #GO ⛔️ ➕ interaction = ➕ books ✅
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انضم إلى مجموعة Python العربية على تليجرام للحصول على الموارد والدروس المتخصصة في لغة Python باللغة العربية. اطرح أسئلتك وشارك خبراتك مع مجتمع متحمس لتطوير البرامج وتحليل البيانات والذكاء الاصطناعي وغيرها من المجالات باستخدام Python. انضم الآن وكن جزءًا من المجتمع العربي المتنامي لمستخدمي Python. https://t.me/PythonArab

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📚 Responsible Graph Neural Networks (2023) 🔗 Download Link: https://file.lu/d/1XU2 💬 Tags: #GNN ⛔️ ➕ interaction = ➕ books
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