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
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📈 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 40 872 名订阅者，在 技术与应用 类别中位列第 3 281，并在 印度 地区排名第 9 100 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 40 872 名订阅者。
根据 02 十一月, 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 278，过去 24 小时变化为 -2，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 4.94%。内容发布后 24 小时内通常能获得 0.99% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 021 次浏览，首日通常累积 403 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 2。
- 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 03 十一月, 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。
40 872
订阅者
-224 小时
-307 天
+27830 天
帖子存档
40 872
✨ Quiz: Python Basics: Setting Up Python ✨
📖 Test your knowledge of installing Python on Windows, macOS, and Ubuntu, setting PATH, and using IDLE with this quick quiz.
🏷️ #basics #python
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✨ Python 3.14 Release Candidate Lands: Faster Code, Smarter Concurrency ✨
📖 Python 3.14 enters its release candidate phase, Django turns 20, and exciting updates about tools, libraries, and the Python community.
🏷️ #community
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✨ Python's with Statement: Manage External Resources Safely ✨
📖 Understand Python's with statement and context managers to streamline the setup and teardown phases in resource management. Start writing safer code today!
🏷️ #intermediate #python
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✨ Office Hours ✨
📖 Join us live for an exclusive members-only Q&A session with the Real Python team. You'll meet fellow Pythonistas to chat about your learning progress, ask questions, and discuss Python tips & tricks via screen sharing. Simply register for upcoming events on this page.
🏷️ #Python
40 872
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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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
40 872
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 📁
40 872
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
