Learn Python Coding

Open in Telegram

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

Network:Machine Learning with Python India10 504 Technologies & Applications3 497...

📈 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 39 177 subscribers, ranking 3 497 in the Technologies & Applications category and 10 504 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 177 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 435 over the last 30 days and by 20 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.50%. Within the first 24 hours after publication, content typically collects 0.94% reactions from the total number of subscribers.
Post reach: On average, each post receives 980 views. Within the first day, a publication typically gains 367 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 11 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.

39 177

Subscribers

+2024 hours

+867 days

+43530 days

980

Post views

~ 36724 hours

~ 46248 hours

2.50%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

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Repost from Github Top Repositories

🔥 Trending Repository: 90DaysOfCyberSecurity 📝 Description: This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md 🔗 Repository URL: https://github.com/farhanashrafdev/90DaysOfCyberSecurity 📖 Readme: https://github.com/farhanashrafdev/90DaysOfCyberSecurity#readme 📊 Statistics: 🌟 Stars: 10.7K stars 👀 Watchers: 192 🍴 Forks: 1.2K forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#cybersecurity #learn #hacktoberfest #ethical_hacking #communityexchange

================================== 🧠 By: https://t.me/DataScienceN

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Repost from Machine Learning with Python

https://t.me/DataScienceN. We have created a channel to guide students towards their educational paths correctly Join our channel

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Repost from Machine Learning with Python

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Fundamentals of python.pdf10.65 MB

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marimo: A Reactive, Reproducible Notebook marimo notebooks redefine the notebook experience by offering a reactive environment that addresses the limitations of traditional linear notebooks. With marimo, you can seamlessly reproduce and share content while benefiting from automatic cell updates and a correct execution order. Discover how marimo’s features make it an ideal tool for documenting research and learning activities. Link: https://realpython.com/marimo-notebook/ https://t.me/DataScience4 🫰 https://t.me/DataScience4 📁

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Top 100 Flask Developer Interview Questions & Answers Part 1: https://hackmd.io/@husseinsheikho/flask-int1 Part 2: https://hackmd.io/@husseinsheikho/flask-int2 Part 3: https://hackmd.io/@husseinsheikho/flask-int3 Part 4: https://hackmd.io/@husseinsheikho/flask-int4 Part 5: https://hackmd.io/@husseinsheikho/flask-int5 https://t.me/DataScience4

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🐍📰 What Are Mixin Classes in Python? Learn how to use Python mixin classes to write modular, reusable, and flexible code with practical examples and design tips https://realpython.com/python-mixin/ https://t.me/DataScience4 🍏

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python-docx: Create and Modify Word Documents #python python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files. Installation

pip install python-docx

Example

from docx import Document

document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")

document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'

https://t.me/DataScienceN 🚗

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Building a Real-time Dashboard with FastAPI and Svelte In this tutorial, you'll learn how to build a real-time analytics dashboard using FastAPI and Svelte. We'll use server-sent events (SSE) to stream live data updates from FastAPI to our Svelte frontend, creating an interactive dashboard that updates in real-time. Start: https://testdriven.io/blog/fastapi-svelte/

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Nested Loops in Python Nested loops in Python allow you to place one loop inside another, enabling you to perform repeated actions over multiple sequences. Understanding nested loops helps you write more efficient code, manage complex data structures, and avoid common pitfalls such as poor readability and performance issues. Learn: https://realpython.com/nested-loops-python/

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Django REST Framework and Vue versus Django and HTMX https://testdriven.io/blog/drf-vue-vs-django-htmx/ Learn how the development process varies between working with Django REST Framework and Vue versus #Django and #HTMX. https://t.me/DataScience4 🌟

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Get a weather forecast without API and complex settings in Python We use the wttr.in (https://github.com/chubin/wttr.in) service — a simple and powerful tool that shows the weather right in the console. To work with the HTTP request, you only need one library - requests. Installing it is very easy: pip install requests Here is the minimal and clear code to get the forecast: import requests city = input("Enter the city name: ") url = f"https://wttr.in/{city}" try: response = requests.get(url) print(response.text) except Exception: print("Oops! Something went wrong. Please try again later.") Just enter the desired city and get a detailed forecast with temperature, precipitation Try it yourself 😏