Learn Python Coding
رفتن به کانال در 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
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Learn Python Coding
کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 123 مشترک است و جایگاه 3 250 را در دسته فناوری و برنامهها و رتبه 9 587 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 123 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 01 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 146 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.86% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.08% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 748 بازدید دریافت میکند. در اولین روز معمولاً 435 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 02 سپتامبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
40 123
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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 🍏
40 124
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-docxfrom 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.'40 124
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
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Learn: https://realpython.com/nested-loops-python/
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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 😏
40 124
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-docxfrom 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.'
40 124
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
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4️⃣ Artificial Intelligence
5️⃣ Data Analysis
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7️⃣ Deep Learning
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✅ https://t.me/addlist/8_rRW2scgfRhOTc0
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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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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:
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-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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