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 39 139 名订阅者，在 技术与应用 类别中位列第 3 511，并在 印度 地区排名第 10 584 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 39 139 名订阅者。
根据 06 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 433，过去 24 小时变化为 10，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 2.57%。内容发布后 24 小时内通常能获得 1.00% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 004 次浏览，首日通常累积 393 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 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 08 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。
39 139
订阅者
+1024 小时
+887 天
+43330 天
帖子存档
39 140
✨ Quiz: How to Convert Bytes to Strings in Python ✨
📖 Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.
🏷️ #basics
39 140
✨ Quiz: How to Properly Indent Python Code ✨
📖 Practice proper Python indentation. Take a quiz on using spaces, editor settings, and autoformatting correctly.
🏷️ #basics #best-practices #python
39 140
🚀 Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.me/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
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Admin: @HusseinSheikho
39 140
✨ Exception Handling | Python Best Practices ✨
📖 Guidelines and best practices for handling exceptions and errors in your Python code.
🏷️ #Python
39 140
✨ Functions | Python Best Practices ✨
📖 Guidelines and best practices for writing robust functions in Python.
🏷️ #Python
39 140
OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
✔️ Create app or website by chatting with AI;
✔️ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
✔️ Download APK,AAB file, publish to AppStore.
✔️ Add payments and monetize like in-app-purchase and Stripe.
✔️ Functional login & signup.
✔️ Database + dashboard in minutes.
✔️ Full tutorial on YouTube and within 1 day customer service
39 140
✨ Docstrings | Python Best Practices ✨
📖 Guidelines and best practices that will help you write good docstrings for your Python packages, modules, functions, and classes.
🏷️ #Python
39 140
✨ Distribution | Python Best Practices ✨
📖 Guidelines and best practices for packaging, building, and distributing your Python projects.
🏷️ #Python
39 140
✨ Conditionals | Python Best Practices ✨
📖 Guidelines and best practices for writing reliable conditionals and making decisions in your Python code.
🏷️ #Python
39 140
✨ Comprehensions | Python Best Practices ✨
📖 Guidelines and best practices for leveraging the power of Python comprehensions
🏷️ #Python
39 140
✨ pre-commit | Python Tools ✨
📖 A multi-language framework that installs and runs code quality checks as Git hooks.
🏷️ #Python
39 140
✨ Concurrency | Python Best Practices ✨
📖 Guidelines and best practices for writing concurrent code the right way in Python.
🏷️ #Python
