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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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📈 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 40 115 subscribers, ranking 3 236 in the Technologies & Applications category and 9 568 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 115 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 151 over the last 30 days and by 53 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.36%. 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 946 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.

📝 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 31 August, 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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40 115
Subscribers
+5324 hours
+197 days
+15130 days
Posts Archive
agentic coding | AI Coding Glossary ✨ 📖 An approach to software development in which AI agents plan, write, run, and iteratively improve code. 🏷️ #Python

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

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 🚀

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

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

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

large language model (LLM) | AI Coding Glossary ✨ 📖 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. 👉  @DataScience4

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Clean code advice in Python: Use Enum to logically group related constants. from dataclasses import dataclass from enum impor
Clean code advice in Python: Use Enum to logically group related constants. from dataclasses import dataclass from enum import Enum Bad: ORDER_PLACED = "PLACED" ORDER_CANCELED = "CANCELED" ORDER_FULFILLED = "FULFILLED" @dataclass class Order: status: str order = Order(ORDER_PLACED) print(order) Good: class OrderStatus(str, Enum): PLACED = "PLACED" CANCELED = "CANCELED" FULFILLED = "FULFILLED" @dataclass class Order: status: OrderStatus order = Order(OrderStatus.PLACED) print(order)

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