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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

✨ When Should You Use .__repr__() vs .__str__() in Python? ✨ 📖 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

40 872

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40 872

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

40 872

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

40 872

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40 872

Repost from Free Online Courses

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40 872

✨ context engineering | AI Coding Glossary ✨ 📖 The systematic design and optimization of the information given to a model at inference time so it can answer effectively. 🏷️ #Python

40 872

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

40 872

Repost from Machine Learning

📌 Python 3.14 and the End of the GIL 🗂 Category: PROGRAMMING 🕒 Date: 2025-10-18 | ⏱️ Read time: 16 min read Exploring the opportunities and challenges of a GIL-free Python

40 872

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

40 872

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

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

40 872

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

40 872

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40 872

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40 872

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

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

40 872

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40 872

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40 872

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