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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 39 194 subscribers, ranking 3 496 in the Technologies & Applications category and 10 482 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 39 194 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 445 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 2.22%. Within the first 24 hours after publication, content typically collects 0.91% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 870 views. Within the first day, a publication typically gains 358 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 12 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.

39 194
Subscribers
+1524 hours
+857 days
+44530 days
Posts Archive
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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

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Loading CSV files into a database using Python. πŸ–₯ By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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

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A Complete Course to Learn Robotics and Perception Notebook-based book "Introduction to Robotics and Perception" by Frank Del
A Complete Course to Learn Robotics and Perception Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson github.com/gtbook/robotics roboticsbook.org/intro.html
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πŸ“„ Optimize your Python code with these 14 articles! πŸ“± If you want to write your Python code faster and more efficiently for
πŸ“„ Optimize your Python code with these 14 articles! πŸ“± If you want to write your Python code faster and more efficiently for data science projects, be sure to have these 14 resources!πŸ‘‡ πŸ³οΈβ€πŸŒˆ How to write clean Python code?➑️ Link πŸ³οΈβ€πŸŒˆ How do you know if your code is optimized or not? ➑️ Link πŸ³οΈβ€πŸŒˆ Optimize your code. ➑️ Link πŸ³οΈβ€πŸŒˆ Remove the rings. ➑️ Link πŸ³οΈβ€πŸŒˆ Write functions faster with these tips ➑️ Link πŸ³οΈβ€πŸŒˆ Speed ​​up your code with caching ➑️ Link πŸ³οΈβ€πŸŒˆ Make the most of Pandas. ➑️ Link πŸ³οΈβ€πŸŒˆ Don't loop over the DataFrame. ➑️ Link πŸ³οΈβ€πŸŒˆ Choose the right data. ➑️ Link πŸ³οΈβ€πŸŒˆ Use groupby professionally. ➑️ Link πŸ³οΈβ€πŸŒˆ Know these 20 Pandas functions. ➑️ Link πŸ³οΈβ€πŸŒˆ Data Insight with Pandas Profiling ➑️ Link πŸ³οΈβ€πŸŒˆ Make Pandas 1000x faster ➑️ Link πŸ³οΈβ€πŸŒˆ Don't make these 10 Pandas mistakes. ➑️ Link πŸ‘¨β€πŸ’» Link to access article notebooks:πŸ‘‡ πŸ–₯ GitHub-Repos ⚑️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

Open Guide to Data Structures and Algorithms A must-read for anyone starting their journey in computer science and programmin
Open Guide to Data Structures and Algorithms A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively. Read it here: https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms #DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners ⚑️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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πŸ’₯ Here is an amazing Python cheat sheet for you all! #python #cheatsheet ⚑️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
πŸ’₯ Here is an amazing Python cheat sheet for you all! #python #cheatsheet ⚑️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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20 Most Common Magic Methods in Python OOP https://t.me/Python53 ⚑️
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πŸ“– 100 Essential Data Science Interview Questions πŸ‘¨πŸ»β€πŸ’» Preparing for a data science interview?
Reviewing fundamental questions is one of the best strategies for success. During the interview, it's crucial to communicate clearly and simplyβ€”especially when explaining complex models and data. These 100 carefully selected questions will not only help you impress your interviewer but also boost your confidence throughout the interview process.
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