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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
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✨ prompt | AI Coding Glossary ✨ πŸ“– The input text or a structured message that tells a generative model what to do. 🏷️ #Python

✨ vibe coding | AI Coding Glossary ✨ πŸ“– An AI-assisted programming style where a developer describes goals in natural language and accepts model-generated code with minimal manual editing. 🏷️ #Python

✨ How to Use Python: Your First Steps ✨ πŸ“– Learn how to use Pythonβ€”install it, run code, and work with data types, functions,
✨ How to Use Python: Your First Steps ✨ πŸ“– Learn how to use Pythonβ€”install it, run code, and work with data types, functions, classes, and loops. Explore essential tools and build a solid foundation. 🏷️ #basics #python

✨ Quiz: How to Use Python: Your First Steps ✨ πŸ“– Review the basics of Python with this quiz. Practice syntax, keywords, varia
✨ Quiz: How to Use Python: Your First Steps ✨ πŸ“– Review the basics of Python with this quiz. Practice syntax, keywords, variables, errors, and tools every beginner should know. 🏷️ #basics #python

✨ agentic coding | AI Coding Glossary ✨ πŸ“– An approach to software development in which AI agents plan, write, run, and iteratively improve code. 🏷️ #Python

✨ artificial intelligence (AI) | AI Coding Glossary ✨ πŸ“– The field of building machines and software that perform tasks requiring human-like intelligence. 🏷️ #Python

Repost from Tech Jobs Hub
Question: What are the differences between __eq__ and __ne__ methods in Python? eqe __eq__ and __ne__ methods are special methods used to define the behavior of the equality and inequality operators (== and !=, reseq. The __eq__ method returns True if two objects are consideredneereas __ne__ returns True if they are considereeql. If __eq__ is defined, it's common practiceneefine __ne__ to maintain consistent logic. For instance:
class MyClass:
    def __eq__(self, other):
        return True
    def __ne__(self, other):
        return False
Here, MyClass would always return True for equality and False for inequality. By: @DataScienceQ πŸš€

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✨ agent | AI Coding Glossary ✨ πŸ“– A system that perceives, decides, and acts toward goals, often looping over steps with tools, memory, and feedback. 🏷️ #Python

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

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

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

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

Clean code tip for Python: Use a dictionary to remove duplicates from a list while preserving the order of elements. names =
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. πŸ‘‰  @DataScience4