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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 40 879 subscribers, ranking 3 284 in the Technologies & Applications category and 9 119 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 40 879 subscribers.

According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 239 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.86%. Within the first 24 hours after publication, content typically collects 0.99% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 986 views. Within the first day, a publication typically gains 403 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 04 November, 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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40 879
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MIT's "Advanced Algorithms" (Course 6.854J, Fall 2008) is a graduate-level course offering deep insights into the design and
MIT's "Advanced Algorithms" (Course 6.854J, Fall 2008) is a graduate-level course offering deep insights into the design and analysis of advanced algorithms. The lecture notes cover a wide range of topics such as graph algorithms, flow networks, randomized algorithms, approximation techniques, and data structures. The material is rigorous and ideal for researchers, graduate students, or professionals looking to strengthen their theoretical foundations in computer science. Link to lecture notes: https://ocw.mit.edu/courses/6-854j-advanced-algorithms-fall-2008/pages/lecture-notes
#AdvancedAlgorithms #MITOCW #AlgorithmDesign #ComputerScience #GraphTheory #RandomizedAlgorithms #ApproximationAlgorithms #GraduateLevel
https://t.me/DataScience4

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β€œPython for Beginners” is a concise and well-structured booklet tailored for anyone starting their Python programming journey. Instead of relying on expensive courses or scattered online content, this PDF organizes Python fundamentals in a clear, logical manner β€” from variables and data types to functions, loops, and modules. It's perfect for beginners who want a solid foundation and a guided learning path without the overwhelm.
#Python #PythonForBeginners #LearnPython #CodingJourney #ProgrammingBasics #CodeSmart #DeveloperTools #TechEducation
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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
#Robotics #Perception #AI #DeepLearning #ComputerVision #RoboticsCourse #MachineLearning #Education #RoboticsResearch #GitHub
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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 🌟
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