现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Learn Python Coding
前往频道在 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
显示更多📈 Telegram 频道 Learn Python Coding 的分析概览
频道 Learn Python Coding (@pythonre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 39 177 名订阅者，在 技术与应用 类别中位列第 3 497，并在 印度 地区排名第 10 504 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 39 177 名订阅者。
根据 10 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 435，过去 24 小时变化为 20，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 2.50%。内容发布后 24 小时内通常能获得 0.94% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 980 次浏览，首日通常累积 367 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 4。
- 主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 11 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
39 177
订阅者
+2024 小时
+867 天
+43530 天
帖子存档
39 191
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
39 191
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
39 191
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 📁
39 191
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
39 191
🐍📰 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 🍏
39 191
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.'39 191
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/
39 191
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/
39 191
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 🌟
39 191
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 😏
