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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Network:π 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 3 242 in the Technologies & Applications category and 9 688 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 060 subscribers.
According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 168 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 3.06%. Within the first 24 hours after publication, content typically collects 1.11% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 227 views. Within the first day, a publication typically gains 443 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn 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_Sheikhoβ
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.
40 060
Subscribers
+1224 hours
-377 days
+16830 days
Posts Archive
40 061
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/Codeprogrammer
40 061
β¨ Quiz: Python's Counter: The Pythonic Way to Count Objects β¨
π Test your understanding of Python's Counter class from the collections module, including construction, counting, and multiset operations.
π·οΈ #basics #python #stdlib
40 061
β¨ codeop | Python Standard Library β¨
π Provides utilities for incrementally compiling Python source code and tracking future statements.
π·οΈ #Python
40 061
β¨ Python Classes: The Power of Object-Oriented Programming β¨
π Learn how to define and use Python classes to implement object-oriented programming. Dive into attributes, methods, inheritance, and more.
π·οΈ #intermediate #best-practices #python
40 061
β¨ Quiz: Exploring Keywords in Python β¨
π Test your understanding of Python keywords, including the difference between regular and soft keywords, keyword categories, and common pitfalls.
π·οΈ #basics #python
40 061
Repost from Free Online Courses
π Python Interview Basics for Beginners
#Development #Python #Free #Udemy
π prepare for next python interview
β± Duration: 39 m
π₯ Enrollments: 23
β Rating: 4 (1 reviews)
π Features: Udemy β’ English β’ Beginner β’ Development,Python
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π’ Join our channel: @Courses27
β οΈ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. π
40 061
Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
40 061
β¨ Quiz: Test-Driven Development With pytest β¨
π Test your TDD skills with pytest. Practice writing unit tests, following pytest conventions, and measuring code coverage.
π·οΈ #intermediate #testing
40 061
β¨ codecs | Python Standard Library β¨
π Defines base classes for standard codecs and provides access to the codec registry for encoding and decoding text and binary data.
π·οΈ #Python
40 061
β¨ Quiz: Using Jupyter Notebooks β¨
π Test your Jupyter Notebook skills: cells, modes, shortcuts, Markdown, server tools, and exporting notebooks to HTML.
π·οΈ #intermediate #tools
40 061
β¨ code | Python Standard Library β¨
π Provides classes and functions for implementing read-eval-print loops and embedding interactive interpreter consoles in applications.
π·οΈ #Python
40 061
β¨ Quiz: Interacting With REST APIs and Python β¨
π Test your Python REST API knowledge: consuming, building, HTTP methods, status codes, Flask, FastAPI, and Django basics.
π·οΈ #intermediate #api #web-dev
40 061
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/Codeprogrammer
40 061
β¨ Quiz: Getting Started With Django: Building a Portfolio App β¨
π Test your Django basics: frameworks, projects, views, templates, models, URLs, and migrations with practical questions.
π·οΈ #basics #django #projects #web-dev
40 061
Repost from Machine Learning with Python
π± Python enthusiasts, this is for you β 15 BEST REPOSITORIES on GitHub for learning Python
βΆοΈ Awesome Python β https://github.com/vinta/awesome-python
β the largest and most authoritative collection of frameworks, libraries, and resources for Python β a must-save
βΆοΈ TheAlgorithms/Python β https://github.com/TheAlgorithms/Python
β a huge collection of algorithms and data structures written in Python
βΆοΈ Project-Based-Learning β https://github.com/practical-tutorials/project-based-learning
β learning Python (and not only) through real projects
βΆοΈ Real Python Guide β https://github.com/realpython/python-guide
β a high-quality guide to the Python ecosystem, tools, and best practices
βΆοΈ Materials from Real Python β https://github.com/realpython/materials
β a collection of code and projects for Real Python articles and courses
βΆοΈ Learn Python β https://github.com/trekhleb/learn-python
β a reference with explanations, examples, and exercises
βΆοΈ Learn Python 3 β https://github.com/jerry-git/learn-python3
β a convenient guide to modern Python 3 with tasks
βΆοΈ Python Reference β https://github.com/rasbt/python_reference
β cheat sheets, scripts, and useful tips from one of the most respected Python authors
βΆοΈ 30-Days-Of-Python β https://github.com/Asabeneh/30-Days-Of-Python
β a 30-day challenge: from syntax to more complex topics
βΆοΈ Python Programming Exercises β https://github.com/zhiwehu/Python-programming-exercises
β 100+ Python tasks with answers
βΆοΈ Coding Problems β https://github.com/MTrajK/coding-problems
β tasks on algorithms and data structures, including for preparation for interviews
βΆοΈ Projects β https://github.com/karan/Projects
β a list of ideas for pet projects (not just Python). Great for practice
βΆοΈ 100-Days-Of-ML-Code β https://github.com/Avik-Jain/100-Days-Of-ML-Code
β machine learning in Python in the format of a challenge
βΆοΈ 30-Seconds-of-Python β https://github.com/30-seconds/30-seconds-of-python
β useful snippets and tricks for everyday tasks
βΆοΈ Geekcomputers/Python β https://github.com/geekcomputers/Python
β various scripts: from working with the network to automation tasks
React β₯οΈ for more posts like this π
40 061
β¨ Quiz: Using Data Classes in Python β¨
π Test your knowledge of Python data classes, namedtuple, immutability, auto-generated methods, inheritance, and slots.
π·οΈ #intermediate #python
40 061
Repost from Machine Learning with Python
π± A huge cheat sheet for Python, Django, Plotly, Matplotlib, Pygame
Many topics are covered inside:
πΈ All basic constructs: variables, conditions, loops, lists, dictionaries, functions, and classes β with clear examples;
πΈ Working with files, exceptions, and data input β understandable even for beginners;
πΈ #Django, #Pygame, #Matplotlib, and #Plotly β brief instructions on how to get started with each of the frameworks;
πΈ Tips on #Git, project structure, and unit testing.
https://t.me/CodeProgrammer β€οΈ
