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9 931 技术与应用3 410...

📈 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 39 482 名订阅者，在 技术与应用 类别中位列第 3 410，并在印度地区排名第 9 931 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 39 482 名订阅者。

根据 06 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 361，过去 24 小时变化为 9，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 1.34%。内容发布后 24 小时内通常能获得 1.14% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 530 次浏览，首日通常累积 451 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 07 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。

39 482

订阅者

+924 小时

+797 天

+36130 天

530

帖子浏览量

~ 45124 小时

~ 61148 小时

1.34%

参与率

~ 4

每日帖子数

Ads index

beta

帖子存档

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Natural Language Processing with Python and spaCy: A Practical Introduction Authors: Yuli Vasiliev Year: 2020 Edition: 1 👇👇👇👇👇

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Ten Quick Tips for Deep Learning in Biology Github: https://github.com/Benjamin-Lee/deep-rules Paper: https://arxiv.org/abs/2105.14372v1 Invite your friends 🌹🌹 @DataScience_Books

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🏎 Make Pandas 3 Times Faster with PyPolars Code : https://www.kdnuggets.com/2021/05/pandas-faster-pypolars.html Github: https://github.com/pola-rs/polars User Guide: https://pola-rs.github.io/polars-book Invite your friends 🌹🌹 @DataScience_Books

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Neural networks and deep learning: a textbook Invite your friends 🌹🌹 @DataScience_Books

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Neural networks and deep learning: a textbook 👇👇👇👇👇

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Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python Invite your friends 🌹🌹 @DataScience_Books

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The pytorch re-implement of the official EfficientDet with SOTA performance in real time Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch Paper: https://arxiv.org/abs/2105.12971v1 Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial Invite your friends 🌹🌹 @DataScience_Books

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