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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 40 060 subscribers, ranking 3 238 in the Technologies & Applications category and 9 700 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 40 060 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 182 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.93%. Within the first 24 hours after publication, content typically collects 1.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 172 views. Within the first day, a publication typically gains 447 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.

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 28 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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40 060
Subscribers
-1024 hours
-397 days
+18230 days
Posts Archive
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✨ Quiz: Working With Python Virtual Environments ✨ πŸ“– Test your knowledge of Python virtual environments, from creating and a
✨ Quiz: Working With Python Virtual Environments ✨ πŸ“– Test your knowledge of Python virtual environments, from creating and activating them to installing packages with pip. 🏷️ #basics #python #tools

✨ encodings | Python Standard Library ✨ πŸ“– Implements the codec registry lookup and encoding name normalization infrastructure. 🏷️ #Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages βœ… https://t.me/addlist/8_rRW2scgfRhOTc0 βœ… https://t.me/Codeprogrammer

✨ Quiz: Welcome to Real Python! ✨ πŸ“– Get a tour of Real Python, find resources for your skill level, and learn how to use the
✨ Quiz: Welcome to Real Python! ✨ πŸ“– Get a tour of Real Python, find resources for your skill level, and learn how to use the community to study effectively. 🏷️ #basics #community

✨ dis | Python Standard Library ✨ πŸ“– Provides tools for disassembling CPython bytecode into human-readable instructions for debugging and performance analysis. 🏷️ #Python

✨ Variables in Python: Usage and Best Practices ✨ πŸ“– Explore Python variables from creation to best practices, covering namin
✨ Variables in Python: Usage and Best Practices ✨ πŸ“– Explore Python variables from creation to best practices, covering naming conventions, dynamic typing, variable scope, and type hints with examples. 🏷️ #basics #python

✨ Quiz: Design and Guidance: Object-Oriented Programming in Python ✨ πŸ“– Test your understanding of the SOLID design principle
✨ Quiz: Design and Guidance: Object-Oriented Programming in Python ✨ πŸ“– Test your understanding of the SOLID design principles for writing cleaner, more maintainable object-oriented Python code. 🏷️ #intermediate #best-practices #python

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✨ Altair: Declarative Charts With Python ✨ πŸ“– Build interactive Python charts the declarative way with Altair. Map data to vi
✨ Altair: Declarative Charts With Python ✨ πŸ“– Build interactive Python charts the declarative way with Altair. Map data to visual properties and add linked selections. No JavaScript required. 🏷️ #intermediate #data-science #data-viz

✨ Quiz: Altair: Declarative Charts With Python ✨ πŸ“– Test your knowledge of Altair, the declarative data visualization library
✨ Quiz: Altair: Declarative Charts With Python ✨ πŸ“– Test your knowledge of Altair, the declarative data visualization library for Python that turns DataFrames into interactive charts. 🏷️ #intermediate #data-science #data-viz

✨ Quiz: Vector Databases and Embeddings With ChromaDB ✨ πŸ“– Test your knowledge of vector databases and ChromaDB, from cosine
✨ Quiz: Vector Databases and Embeddings With ChromaDB ✨ πŸ“– Test your knowledge of vector databases and ChromaDB, from cosine similarity and embeddings to querying collections and RAG. 🏷️ #advanced #ai #databases #data-science #machine-learning

✨ Quiz: Explore Your Dataset With pandas ✨ πŸ“– Test your pandas fundamentals: core structures, indexing, filtering, grouping,
✨ Quiz: Explore Your Dataset With pandas ✨ πŸ“– Test your pandas fundamentals: core structures, indexing, filtering, grouping, dtypes, and combining DataFrames. 🏷️ #basics #data-science

✨ difflib | Python Standard Library ✨ πŸ“– Provides classes and functions for comparing sequences and generating human-readable difference reports between text, strings, and other sequences. 🏷️ #Python

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⬇️ Core Python data structures
⬇️ Core Python data structures

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