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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 40 122 subscribers, ranking 3 231 in the Technologies & Applications category and 9 549 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 40 122 subscribers.

According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 153 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.05%. Within the first 24 hours after publication, content typically collects 1.08% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 824 views. Within the first day, a publication typically gains 435 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 01 September, 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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40 122
Subscribers
+724 hours
+497 days
+15330 days
Posts Archive
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✨ Quiz: What Can I Do With Python? ✨ πŸ“– Test your knowledge of what Python can and can't do, from web and GUI apps to data sc
✨ Quiz: What Can I Do With Python? ✨ πŸ“– Test your knowledge of what Python can and can't do, from web and GUI apps to data science, CLI tools, and embedded systems. 🏷️ #basics #career

✨ loss function | AI Coding Glossary ✨ πŸ“– A scalar objective that measures prediction error and shapes gradients to guide model training. 🏷️ #Python

✨ reinforcement learning | AI Coding Glossary ✨ πŸ“– A learning approach where an agent improves decisions by interacting with an environment and maximizing cumulative reward. 🏷️ #Python

✨ What Can I Do With Python? ✨ πŸ“– Learn how Python builds software, powers AI, automates tasks, and drives robotics. Discover
✨ What Can I Do With Python? ✨ πŸ“– Learn how Python builds software, powers AI, automates tasks, and drives robotics. Discover tools and projects to guide your programming journey. 🏷️ #basics #career

photo content

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⚠ Message was hidden by channel owner

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⚠ Message was hidden by channel owner

✨ When Should You Use .__repr__() vs .__str__() in Python? ✨ πŸ“– Find out when to choose Python's __repr__() vs __str__() in y
✨ When Should You Use .__repr__() vs .__str__() in Python? ✨ πŸ“– Find out when to choose Python's __repr__() vs __str__() in your classes so your objects show helpful information for debugging and user output. 🏷️ #intermediate #best-practices

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✨ token | AI Coding Glossary ✨ πŸ“– A minimal unit of text used by NLP systems and language models. 🏷️ #Python

✨ context window | AI Coding Glossary ✨ πŸ“– The maximum span of tokens that a language model can consider at once. 🏷️ #Python

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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