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 40 869 subscribers, ranking 3 287 in the Technologies & Applications category and 9 131 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 40 869 subscribers.
According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 306 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.91%. Within the first 24 hours after publication, content typically collects 1.63% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 414 views. Within the first day, a publication typically gains 665 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 01 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.
40 869
Subscribers
-624 hours
-237 days
+30630 days
Posts Archive
40 872
In Python, generators are memory-efficient iterables created with functions using
yield instead of return, allowing lazy evaluation for large datasets or infinite sequences. They're ideal for advanced scenarios like streaming data or coroutines.
def fibonacci(n):
a, b = 0, 1
for _ in range(n):
yield a
a, b = b, a + b
# Usage: list(fibonacci(10)) -> [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
40 872
β¨ Topic: Python GUI Programming β¨
π Learn to create GUIs using various Python frameworks. From Tkinter to PyQT or wxPython, get started with GUI programming in Python. With these skills, you can develop user-friendly interfaces for your applications.
π·οΈ #25_resources
40 872
β¨ Topic: NumPy β¨
π Master NumPy so you can perform complex mathematical operations on large data sets. NumPy is an industry-standard Python library that supports large multidimensional arrays and matrices, and mathematical functions to operate on them.
π·οΈ #32_resources
40 872
β¨ Topic: Python Projects β¨
π Explore project-based Python tutorials and gain practical coding skills. Work on Python projects that help you gain real-world programming experience. These projects include full source code and step-by-step instructions, and will make you more confident in tackling real-world coding challenges.
π·οΈ #68_resources
40 872
β¨ Topic: Core Python Tutorials β¨
π Explore pure Python tutorials focusing on the core language features. Dive into the heart of the Python language. Understanding these core features will give you a solid foundation for advanced Python programming.
π·οΈ #586_resources
40 872
β¨ Topic: Python Testing Tutorials β¨
π Learn how to test different types of Python applications, from command-line apps to web applications. Discover best practices and techniques for testing your Python applications. This will help you build robust and bug-free applications.
π·οΈ #25_resources
40 872
β¨ Topic: Python Career β¨
π Practice your Python skills for coding interviews and explore Python-related topics that can boost your career as a developer. By following these tutorials, you can improve your chances of succeeding in a Python programming career.
π·οΈ #21_resources
40 872
β¨ Topic: Python Community Articles β¨
π Get to know your fellow coders through Python community articles and interviews. Dive into the Python community. This will connect you with the broader Python community, opening opportunities for collaboration and learning.
π·οΈ #106_resources
40 872
β¨ Topic: Data Structures β¨
π Learn about Python's built-in data structures and how to implement abstract structures like stacks, queues, hash tables, etc. Understanding these will enhance your problem-solving skills in Python and equip you with additional tools in your Python tool belt.
π·οΈ #39_resources
40 872
β¨ Topic: Python Data Visualization β¨
π Learn to create data visualizations using Python in these tutorials. Explore various libraries and use them to communicate your data visually with Python. By mastering data visualization, you can effectively present complex data in an understandable format.
π·οΈ #25_resources
40 872
Repost from Remote Jobs β Daily LinkedIn Picks πΌ
β Interview Question
What is the difference between
__str__ and __repr__ methods in Python classes, and when would you implementstr
__str__ returns a human-readable string representation of an object (e.g., via print(obj)), making it user-friendly for displayrepr__repr__ aims for a more detailed, unambiguous string that's ideally executable as code (like repr(obj)), useful for debuggingβimstr __str__ for end-user outrepr__repr__ for developer tools or str __str__ is defined.
tags: #interview #python #magicmethods #classes
β‘οΈ @DataScienceQ π€40 872
β¨ Topic: Python DevOps Tutorials β¨
π Explore Python as a tool for development and operations (DevOps) tasks. This knowledge will allow you to streamline the process of application development, deployment, and monitoring.
π·οΈ #30_resources
40 872
β¨ Topic: Editors & IDEs β¨
π Discover popular and niche editors and integrated development environments (IDEs) for Python. Learn about new tools or delve deeper into your favorite editor. This knowledge will streamline your Python development process.
π·οΈ #21_resources
40 872
β¨ function calling | AI Coding Glossary β¨
π A model feature that lets the model choose a tool and emit JSON arguments so your app runs the API call and returns results.
π·οΈ #Python
40 872
β¨ natural language processing (NLP) | AI Coding Glossary β¨
π A field of computer science and artificial intelligence that enables computers to analyze, interpret, generate, and interact with human language in text and speech.
π·οΈ #Python
40 872
β¨ Topic: Flask Tutorials β¨
π Explore Flask, a popular Python web framework, through these tutorials. Learn key aspects of Flask development. With this knowledge, you'll be able to create robust and scalable web applications using Flask.
π·οΈ #26_resources
40 872
β¨ Topic: Front-end Web Development Tutorials β¨
π Learn to make Python Web applications more user-friendly by leveraging the power of front-end and back-end technologies. These skills will enable you to create engaging and interactive web applications.
π·οΈ #26_resources
40 872
β¨ Topic: Python Game Development β¨
π Build games using Python! Gain practical experience through tutorials and courses that cover libraries such as pygame and Arcade. Work with these resources to create engaging games using Python.
π·οΈ #18_resources
