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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 India9 131 Technologies & Applications3 287...

📈 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 40 872 subscribers, ranking 3 287 in the Technologies & Applications category and 9 131 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 872 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 306 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.91%. Within the first 24 hours after publication, content typically collects 1.63% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 414 views. Within the first day, a publication typically gains 665 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 01 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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40 872

Subscribers

-624 hours

-237 days

+30630 days

2 414

Post views

~ 66524 hours

~ 1 10448 hours

5.91%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 872

✨ model context protocol (MCP) | AI Coding Glossary ✨ 📖 An open, client-server communication standard that lets AI applications connect to external tools and data sources. 🏷️ #Python

40 872

✨ Reference: AI Coding Glossary ✨ 📖 Concise explanations of foundational terms and concepts for AI-assisted coding. 🏷️ #2_terms

40 872

✨ generative pre-trained transformer (GPT) | AI Coding Glossary ✨ 📖 Autoregressive language models that use the transformer architecture and are pre-trained on large text corpora. 🏷️ #Python

40 872

✨ large language model (LLM) | AI Coding Glossary ✨ 📖 A neural network that predicts the next token to perform general-purpose language tasks. 🏷️ #Python

40 872

Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements.

names = ["John", "Daisy", "Bob", "Lilly", "Bob", "Daisy"]

unique_names = list({name: name for name in names}.values())

print(unique_names)
# ['John', 'Daisy', 'Bob', 'Lilly']

The point is that dictionary keys are unique, and starting from Python 3.7, the order of insertion is preserved. So this is a concise way to remove duplicates without losing order. 👉 @DataScience4

40 872