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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 39 140 subscribers, ranking 3 511 in the Technologies & Applications category and 10 551 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 39 140 subscribers.

According to the latest data from 07 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 433 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 2.62%. Within the first 24 hours after publication, content typically collects 1.01% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 026 views. Within the first day, a publication typically gains 395 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 08 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.

39 140
Subscribers
+1024 hours
+887 days
+43330 days
Posts Archive
✨ Quiz: How to Convert Bytes to Strings in Python ✨ πŸ“– Decode bytes into readable strings in Python. Test your skills working
✨ Quiz: How to Convert Bytes to Strings in Python ✨ πŸ“– Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases. 🏷️ #basics

✨ Quiz: How to Properly Indent Python Code ✨ πŸ“– Practice proper Python indentation. Take a quiz on using spaces, editor setti
✨ Quiz: How to Properly Indent Python Code ✨ πŸ“– Practice proper Python indentation. Take a quiz on using spaces, editor settings, and autoformatting correctly. 🏷️ #basics #best-practices #python

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πŸš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need boo
πŸš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! πŸ”° Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer πŸ”– Machine Learning Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications. https://t.me/DataScienceM 🧠 Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ πŸ’Ύ Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 πŸ§‘β€πŸŽ“ Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC πŸ˜€ ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT πŸ’¬ Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| Ψ¨Ψ§ΩŠΨ«ΩˆΩ† عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab πŸ–Š Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN πŸ“Ί Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV πŸ“ˆ Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

photo content

✨ Exception Handling | Python Best Practices ✨ πŸ“– Guidelines and best practices for handling exceptions and errors in your Python code. 🏷️ #Python

✨ Functions | Python Best Practices ✨ πŸ“– Guidelines and best practices for writing robust functions in Python. 🏷️ #Python

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✨ Docstrings | Python Best Practices ✨ πŸ“– Guidelines and best practices that will help you write good docstrings for your Python packages, modules, functions, and classes. 🏷️ #Python

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✨ Distribution | Python Best Practices ✨ πŸ“– Guidelines and best practices for packaging, building, and distributing your Python projects. 🏷️ #Python

✨ Conditionals | Python Best Practices ✨ πŸ“– Guidelines and best practices for writing reliable conditionals and making decisions in your Python code. 🏷️ #Python

✨ Comprehensions | Python Best Practices ✨ πŸ“– Guidelines and best practices for leveraging the power of Python comprehensions 🏷️ #Python

✨ pre-commit | Python Tools ✨ πŸ“– A multi-language framework that installs and runs code quality checks as Git hooks. 🏷️ #Python

✨ Concurrency | Python Best Practices ✨ πŸ“– Guidelines and best practices for writing concurrent code the right way in Python. 🏷️ #Python

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