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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 40 904 subscribers, ranking 3 279 in the Technologies & Applications category and 9 152 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 40 904 subscribers.

According to the latest data from 07 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 188 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.48%. 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 2 242 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.

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 08 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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40 904
Subscribers
+524 hours
+387 days
+18830 days
Posts Archive
Graph-Powered Analytics and Machine Learning with TigerGraph (2022) πŸ”— Download Link: https://filewebster.com/files/download/
Graph-Powered Analytics and Machine Learning with TigerGraph (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTc5MDc2MV8zMDQ2 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Applied AI and Natural Language Processing Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1N
The Applied AI and Natural Language Processing Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwNTA0Ml8zMDA1 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Natural Language Processing Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwNDg1Ml8zMDA0
The Natural Language Processing Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwNDg1Ml8zMDA0 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Check OMR Sheet Using Python project. Here πŸ‘‡ https://t.me/CodeProgrammer/897?single
Check OMR Sheet Using Python project. Here πŸ‘‡ https://t.me/CodeProgrammer/897?single

python for geeks (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcyNjc4M18zMDEx πŸ’β€οΈ Like and share πŸ’β€
python for geeks (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcyNjc4M18zMDEx πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Pandas Workshop (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTc0NjAwM18zMDE1 πŸ’β€οΈ Like and share
The Pandas Workshop (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTc0NjAwM18zMDE1 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

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Python For Data Science Cheat Sheet (All Framewors and Libraries) πŸ”— Download Link: https://filewebster.com/files/download/MT
Python For Data Science Cheat Sheet (All Framewors and Libraries) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcxMjA1MF8zMDA2 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Reinforcement Learning Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwNDE2Ml8zMDAz πŸ’β€οΈ
The Reinforcement Learning Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwNDE2Ml8zMDAz πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Applied Artificial Intelligence Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwMzU1OV8z
The Applied Artificial Intelligence Workshop (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTcwMzU1OV8zMDAy πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Building Data Science Solutions with Anaconda (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYzODkxNl8
Building Data Science Solutions with Anaconda (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYzODkxNl8yOTY1 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Imbalanced Classification with Python (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMzE3N18yOTYy πŸ’
Imbalanced Classification with Python (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMzE3N18yOTYy πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Keras Cheatsheet (2022 - important) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMjYyOV8yOTYx πŸ’β€οΈ Like a
Keras Cheatsheet (2022 - important) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMjYyOV8yOTYx πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

LEARN DJANGO IN 24 HOURS FOR BEGINNERS (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMTgyN18yOTYw οΏ½
LEARN DJANGO IN 24 HOURS FOR BEGINNERS (2021) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTYyMTgyN18yOTYw πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

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Convolutional Neural Networks with Swift for Tensorflow (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1N
Convolutional Neural Networks with Swift for Tensorflow (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTU0MDM5NF8yOTI0 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Inside Deep Learning (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUzMDIxN18yOTIw πŸ’β€οΈ Like and share
Inside Deep Learning (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUzMDIxN18yOTIw πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

Learning DevOps (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUyOTYzN18yOTE5 πŸ’β€οΈ Like and share πŸ’β€οΈ
Learning DevOps (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUyOTYzN18yOTE5 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects

The Machine Learning Solutions Architect Handbook (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUyODc
The Machine Learning Solutions Architect Handbook (2022) πŸ”— Download Link: https://filewebster.com/files/download/MTY1NTUyODc0OV8yOTE4 πŸ’β€οΈ Like and share πŸ’β€οΈ 1⃣ @DataScience_Books 2⃣ @CodeProgrammer 3⃣ @datascience_projects