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9 949 技术与应用3 403...

📈 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 39 471 名订阅者，在 技术与应用 类别中位列第 3 403，并在印度地区排名第 9 949 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 39 471 名订阅者。

根据 04 七月, 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 356，过去 24 小时变化为 7，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 1.27%。内容发布后 24 小时内通常能获得 1.09% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 502 次浏览，首日通常累积 430 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 05 七月, 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。

39 471

订阅者

+724 小时

+737 天

+35630 天

502

帖子浏览量

~ 43024 小时

~ 59948 小时

1.27%

参与率

~ 4

每日帖子数

Ads index

beta

帖子存档

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Python Machine Learning for beginners Invite your friends 🌹🌹 @DataScience_Books

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Python Machine Learning for beginners 👇👇👇👇👇

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🤗 The Best SOTA NLP Course is Free! https://huggingface.co/course/chapter1 Dataset: https://github.com/huggingface/datasets Colab: https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter1/section3.ipynb Invite your friends 🌹🌹 @DataScience_Books

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What is the output using Python? a,a=2,3 print(a)

Anonymous voting

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Kubeflow_for_Machine_Learning_From_Lab_to_Production_by_Trevor_Grant.pdf13.95 MB

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intro-to-ml-with-kubeflow-examples-master_code.zip1.86 KB

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🔝 Deepmind's WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset This package provides tools to download the WikiGraphs dataset Github: https://github.com/deepmind/deepmind-research/tree/master/wikigraphs Paper: https://arxiv.org/abs/2107.09556v1 Dataset: https://paperswithcode.com/dataset/wikigraphs Invite your friends 🌹🌹 @DataScience_Books

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https://t.me/CodeProgrammer