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

Network:Machine Learning with Python India9 587 Technologies & Applications3 250...

📈 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 40 123 subscribers, ranking 3 250 in the Technologies & Applications category and 9 587 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 123 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 146 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.86%. Within the first 24 hours after publication, content typically collects 1.08% reactions from the total number of subscribers.
Post reach: On average, each post receives 748 views. Within the first day, a publication typically gains 435 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
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 02 September, 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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40 123

Subscribers

+924 hours

+717 days

+14630 days

748

Post views

~ 43524 hours

~ 63348 hours

1.86%

Engagement rate

~ 2

Posts per day

Ads index

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Posts Archive

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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 😏

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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 🚗

40 130

Repost from Machine Learning with Python

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 ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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Stelvio v0.3.0 is here! The easiest way to deploy a Python application on AWS. Only Python. No YAML. No JSON. No clicking around in the AWS Console. ✓ CLI with no prior setup ✓ Environment support Watch how I deploy an API from an empty folder — in less than 60 seconds. Try it right now 💊 Documentation: https://docs.stelvio.dev GitHub: https://github.com/michal-stlv/stelvio/ 👉 https://t.me/DataScience4 🌟

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🐍📰 Skip Ahead in Loops With Python's Continue Keyword Learn how #Python's continue statement works, when to use it, common mistakes to avoid, and what happens under the hood in CPython byte code https://realpython.com/python-continue/ https://t.me/DataScience4 🩷

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Master Python Interviews with These 150 Essential Questions Preparing for a Python-based role in data science, analytics, software development, or AI? You need more than just coding skills — you need clarity on concepts, frameworks, and best practices. This document contains 150 most commonly asked Python interview questions with clear, concise answers covering: -Core Python – data types, control flow, OOP, memory management, iterators, decorators, and more -Data Science Libraries – NumPy, Pandas, Matplotlib, Seaborn -Frameworks – Flask, Django, Pyramid -Data Handling – CSV reading, DataFrames, joins, merges, file handling -Advanced Topics – GIL, multithreading, pickling, deep vs. shallow copy, generators -Coding Challenges – from Fibonacci to palindrome checkers, sorting algorithms, and data structure problems https://t.me/DataScienceQ 🧠

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🐍📰 Python String Formatting: Available Tools and Their Features https://realpython.com/python-string-formatting/ #python

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