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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网络:Machine Learning with Python 印度9 559 技术与应用3 248...

📈 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 40 141 名订阅者，在 技术与应用 类别中位列第 3 248，并在印度地区排名第 9 559 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 40 141 名订阅者。

根据 02 九月, 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 128，过去 24 小时变化为 15，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 1.69%。内容发布后 24 小时内通常能获得 1.04% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 677 次浏览，首日通常累积 419 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 九月, 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。

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40 141

订阅者

+1524 小时

+967 天

+12830 天

677

帖子浏览量

~ 41924 小时

~ 63348 小时

1.69%

参与率

~ 2

每日帖子数

Ads index

beta

帖子存档

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👩‍💻 Pythonic Data Structures and Algorithms: algorithms 🖥 Github https://t.me/DataScience4 ✅

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Please 1️⃣0️⃣0️⃣ likes or ⭐️

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👩‍💻 TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers from all over the world contribute with various algorithms used in computer science, mathematics, and data science. 🔍 The repository includes hundreds of algorithm implementations in various categories, such as: 🌟 Sorting and searching (e.g. quicksort, binary search). 🌟 Data structures (e.g. trees, graphs, queues). 🌟 Graph algorithms (e.g. depth-first search, breadth-first search). 🌟 Cryptography (e.g. encryption, hashing). 🌟 Machine learning algorithms and many more! 💡 The goal of the project is to offer a learning resource where developers can learn and understand how different algorithms work. Each algorithm is accompanied by code examples, and many of them have detailed explanations. 🔐 License: MIT 👍 Github https://t.me/DataScience4 ✅

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20 Python Libraries You Aren't Using But Should 📕 Book https://t.me/DataScience4 ✅

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Repost from Machine Learning with Python

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

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Repost from Machine Learning with Python

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When invoking a Python script, you can specify various options/flags for better flexibility. Here are 9 of the most commonly used options. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐜: Run a single Python command. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -i: Run the script as usual and enter the interactive model instead of exiting. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐎: Ignore assert statements (This is alphabet ‘O’). 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐎𝐎: Ignore assert statements and discard docstrings. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐖: Ignore all warnings. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐦: Run a module as a script. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐯: Enter verbose mode. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐱: Skip the first line. 🔷 𝐩𝐲𝐭𝐡𝐨𝐧 -𝐄: ignore all Python environment variables. https://t.me/DataScience4 🧉

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Repost from Machine Learning with Python

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How Python work in our computer clearly explained https://t.me/DataScience4 ⭐️

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📚 Portable Python Projects (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2067 💬 Tags: #python USEFUL CHANNELS FOR YOU

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📚 Mastering Python (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2058 💬 Tags: #python USEFUL CHANNELS FOR YOU

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Repost from Data Science Books

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