ch
Feedback

不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

Learn Python Coding

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 40 902 名订阅者,在 技术与应用 类别中位列第 3 309,并在 印度 地区排名第 9 131 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 40 902 名订阅者。

根据 12 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 88,过去 24 小时变化为 8,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 1.87%。内容发布后 24 小时内通常能获得 0.89% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 763 次浏览,首日通常累积 362 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 13 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。

Buy Ad
40 902
订阅者
+824 小时
+57 天
+8830 天
帖子存档
Python Workout.pdf8.30 MB

Python Workout 50 ten-minute exercises Invite your friends 🌹🌹 @DataScience_Books

Python Workout 50 ten-minute exercises 👇👇👇👇👇
Python Workout 50 ten-minute exercises 👇👇👇👇👇

Python Scripting for ArcGIS Pro Invite your friends 🌹🌹 @DataScience_Books

Python Scripting for ArcGIS Pro 👇👇👇👇👇
Python Scripting for ArcGIS Pro 👇👇👇👇👇

NumPy Cheatsheets Invite your friends 🌹🌹 @DataScience_Books

🎨 Wavelet Transform-assisted Adaptive Generative Modeling for Colorization Github: https://github.com/yqx7150/WACM Paper: ht
🎨 Wavelet Transform-assisted Adaptive Generative Modeling for Colorization Github: https://github.com/yqx7150/WACM Paper: https://arxiv.org/pdf/2107.04261v1.pdf Dataset: https://paperswithcode.com/dataset/coco-stuff Invite your friends 🌹🌹 @DataScience_Books

hands-on ml.pdf51.26 MB

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Second Edition Invite your friends 🌹🌹 @DataScience_Books

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Second Edition 👇👇👇👇👇
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Second Edition 👇👇👇👇👇

Machine Learning for Time Series Forecasting with Python Invite your friends 🌹🌹 @DataScience_Books

Machine Learning for Time Series Forecasting with Python 👇👇👇👇👇
Machine Learning for Time Series Forecasting with Python 👇👇👇👇👇

Python for DevOps: Learn Ruthlessly Effective Automation Invite your friends 🌹🌹 @DataScience_Books

Python for DevOps: Learn Ruthlessly Effective Automation 👇👇👇👇👇
Python for DevOps: Learn Ruthlessly Effective Automation 👇👇👇👇👇

↔️ Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation Github: https://github.com/Elvinky/IEGAN
↔️ Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation Github: https://github.com/Elvinky/IEGAN Paper: https://arxiv.org/abs/2107.02494 Datasets: https://github.com/Elvinky/IEGAN/tree/main/dataset Image-to-Image Translation: https://paperswithcode.com/task/image-to-image-translation Invite your friends 🌹🌹 @DataScience_Books

Testing In Python: Robust Testing For Professionals Invite your friends 🌹🌹 @DataScience_Books

Testing In Python: Robust Testing For Professionals 👇👇👇👇👇
Testing In Python: Robust Testing For Professionals 👇👇👇👇👇

Python for Excel: A Modern Environment for Automation and Data Analysis Invite your friends 🌹🌹 @DataScience_Books

Python for Excel: A Modern Environment for Automation and Data Analysis Invite your friends 🌹🌹 @DataScience_Books

Python for Excel: A Modern Environment for Automation and Data Analysis 👇👇👇👇👇
Python for Excel: A Modern Environment for Automation and Data Analysis 👇👇👇👇👇