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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 39 453 subscribers, ranking 3 423 in the Technologies & Applications category and 9 971 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 39 453 subscribers.

According to the latest data from 02 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 376 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.15%. Within the first 24 hours after publication, content typically collects 1.24% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 453 views. Within the first day, a publication typically gains 489 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 03 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.

39 453
Subscribers
+1124 hours
+937 days
+37630 days
Posts Archive
Impractical Python Projects (2019) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Impractical Python Projects (2019) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

πŸŒ€Machine Learning Real World projects in Python | UdemyπŸŒ€ ━━━━━━━━━━━━━━━━ Rating: 4.4 Language : English Instructor : Shan Singh πŸ“œDescription : Build 3 Practical Real World Projects and become a master in Machine Learning ━━━━━━━━━━━━━━━━━ Enrollment link: https://www.udemy.com/course/machine-learning-real-world-projects-in-python/?join:@Udemy_Blaster&couponCode=OCT_SALES_CRAZY ━━━━━━━━━━━━━━━━ ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Make Python Talk: Build Apps with Voice Control and Speech Recognition (2021) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Make Python Talk: Build Apps with Voice Control and Speech Recognition (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Make Python Talk: Build Apps with Voice Control and Speech Recognition (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python (2020) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python (2020) πŸ‘‡οΏ½
Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Pandas in Action (2020) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Pandas in Action (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Pandas in Action (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (2021) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Introduction to Statistical and Machine Learning Methods for Data Science (2021) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Introduction to Statistical and Machine Learning Methods for Data Science (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Introduction to Statistical and Machine Learning Methods for Data Science (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

The Data Wrangling Workshop (2020) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

The Data Wrangling Workshop (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
The Data Wrangling Workshop (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Semantic Modeling for Data (2020) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Semantic Modeling for Data (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Semantic Modeling for Data (2020) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

The Data Science Workshop (2021) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

The Data Science Workshop (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
The Data Science Workshop (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Getting Started with Streamlit for Data Science (2021) ♻️ Share Link: https://t.me/joinchat/9ieZjAc0X3EyYzg8

Getting Started with Streamlit for Data Science (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Getting Started with Streamlit for Data Science (2021) πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡