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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 39 175 subscribers, ranking 3 501 in the Technologies & Applications category and 10 515 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 39 175 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 443 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.52%. 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 988 views. Within the first day, a publication typically gains 374 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • 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 10 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.

39 175
Subscribers
+1524 hours
+827 days
+44330 days
Posts Archive
Repost from Free Online Courses
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✨ context engineering | AI Coding Glossary ✨ πŸ“– The systematic design and optimization of the information given to a model at inference time so it can answer effectively. 🏷️ #Python

✨ temperature | AI Coding Glossary ✨ πŸ“– A decoding parameter that rescales model logits before sampling. 🏷️ #Python

Repost from Machine Learning
πŸ“Œ Python 3.14 and the End of the GIL πŸ—‚ Category: PROGRAMMING πŸ•’ Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the
πŸ“Œ Python 3.14 and the End of the GIL πŸ—‚ Category: PROGRAMMING πŸ•’ Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the opportunities and challenges of a GIL-free Python

✨ hallucination | AI Coding Glossary ✨ πŸ“– When a generative model produces confident but false or unverifiable content and presents it as fact. 🏷️ #Python

✨ system prompt | AI Coding Glossary ✨ πŸ“– A message that establishes a model’s role, goals, constraints, and style before user inputs. 🏷️ #Python

✨ training | AI Coding Glossary ✨ πŸ“– The process of fitting a model’s parameters to data by minimizing a loss function. 🏷️ #Python

✨ prompt engineering | AI Coding Glossary ✨ πŸ“– The practice of designing and refining prompts for generative models. 🏷️ #Python

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✨ generative model | AI Coding Glossary ✨ πŸ“– A model that learns a data distribution so it can generate new samples or assign probabilities to observations. 🏷️ #Python

✨ neural network | AI Coding Glossary ✨ πŸ“– A computational model composed of layered, interconnected units that learn learn input-to-output mappings. 🏷️ #Python

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Enjoy our content? Advertise on this channel and reach a highly engaged audience! πŸ‘‰πŸ» It's easy with Telega.io. As the leadi
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✨ Quiz: Polars vs pandas: What's the Difference? ✨ πŸ“– Take this quiz to test your knowledge of the Polars vs pandas tutorial
✨ Quiz: Polars vs pandas: What's the Difference? ✨ πŸ“– Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries. 🏷️ #intermediate #data-science #python

✨ machine learning | AI Coding Glossary ✨ πŸ“– A subfield of AI that builds models that improve their performance on a task by learning patterns from data. 🏷️ #Python

✨ transformer | AI Coding Glossary ✨ πŸ“– A neural network model that uses self-attention to handle sequences without recurrence or convolutions. 🏷️ #Python

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