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 India10 597 Technologies & Applications3 502...

📈 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 39 129 subscribers, ranking 3 502 in the Technologies & Applications category and 10 597 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 129 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 458 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 2.68%. Within the first 24 hours after publication, content typically collects 1.04% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 048 views. Within the first day, a publication typically gains 405 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 07 June, 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.

39 129

Subscribers

+2124 hours

+1207 days

+45830 days

1 048

Post views

~ 40524 hours

~ 51348 hours

2.68%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

39 130

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39 130

Repost from Machine Learning with Python

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✨ Quiz: Python's list Data Type: A Deep Dive With Examples ✨ 📖 Check your Python list skills with quick tasks on indexing, slicing, methods, copies, comprehensions, and pitfalls. 🏷️ #intermediate #data-structures #python

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✨ virtual environments | Python Best Practices ✨ 📖 Guidelines and best practices for setting up Python virtual environments. 🏷️ #Python

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✨ What Exactly Is the Zen of Python? ✨ 📖 The Zen of Python is a collection of 19 guiding principles for writing good Python code. Learn its history, meaning, and hidden jokes. 🏷️ #basics #python

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Repost from первое впечатление

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✨ Quiz: What Exactly Is the Zen of Python? ✨ 📖 Learn and test the Zen of Python, its guiding aphorisms, and tips for writing clearer, more readable, and maintainable code. 🏷️ #basics #python

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✨ variables | Python Best Practices ✨ 📖 Guidelines and best practices for using variables like an expert Python developer. 🏷️ #Python

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✨ Quiz: Python's pathlib Module: Taming the File System ✨ 📖 Revisit Python's pathlib module for handling file and folder paths consistently across operating systems. Write modern, object-oriented code. 🏷️ #intermediate #python #stdlib

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✨ type checking | Python Best Practices ✨ 📖 Guidelines and best practices for leveraging type hints and static type checking in your Python code. 🏷️ #Python

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✨ TinyDB: A Lightweight JSON Database for Small Projects ✨ 📖 If you're looking for a JSON document-oriented database that requires no configuration for your Python project, TinyDB could be exactly what you need. 🏷️ #basics #databases #python

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Repost from Python Courses & Resources

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer