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 40 897 名订阅者,在 技术与应用 类别中位列第 3 311,并在 印度 地区排名第 9 151 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 40 897 名订阅者。

根据 11 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 109,过去 24 小时变化为 -1,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 1.80%。内容发布后 24 小时内通常能获得 0.88% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 736 次浏览,首日通常累积 358 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 12 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
40 897
订阅者
-124 小时
-127 天
+10930 天
帖子存档
📚 GANs in Action: Deep learning with Generative Adversarial Networks Invite your friends 🌹🌹 @DataScience_Books

📚 GANs in Action: Deep learning with Generative Adversarial Networks 👇👇👇👇👇
📚 GANs in Action: Deep learning with Generative Adversarial Networks 👇👇👇👇👇

📚 ​Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles Invite your friends 🌹🌹 @DataScience_Books

📚 ​Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles 👇👇👇👇👇
📚 ​Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles 👇👇👇👇👇

📚 Understanding Artificial Intelligence Invite your friends 🌹🌹 @DataScience_Books

📚 Understanding Artificial Intelligence 👇👇👇👇👇
📚 Understanding Artificial Intelligence 👇👇👇👇👇

📚 Image Processing and Communications: Techniques, Algorithms and Applications Invite your friends 🌹🌹 @DataScience_Books

📚 Image Processing and Communications: Techniques, Algorithms and Applications 👇👇👇👇👇
📚 Image Processing and Communications: Techniques, Algorithms and Applications 👇👇👇👇👇

📚 Image Processing and Capsule Networks: ICIPCN 2020 Invite your friends 🌹🌹 @DataScience_Books

📚 Image Processing and Capsule Networks: ICIPCN 2020 👇👇👇👇👇
📚 Image Processing and Capsule Networks: ICIPCN 2020 👇👇👇👇👇

Computer Networks Invite your friends 🌹🌹 @DataScience_Books

Computer Networks Authors: Andrew S. Tanenbaum, Nick Feamster, David J. Wetherall Year: 2021 Edition: 6 👇👇👇👇👇
Computer Networks Authors: Andrew S. Tanenbaum, Nick Feamster, David J. Wetherall Year: 2021 Edition: 6 👇👇👇👇👇

​Introduction to Graph Neural Networks Invite your friends 🌹🌹 @DataScience_Books

​Introduction to Graph Neural Networks 👇👇👇👇👇
​Introduction to Graph Neural Networks 👇👇👇👇👇

​Python for Programmers Invite your friends 🌹🌹 @DataScience_Books

​Python for Programmers 👇👇👇👇👇
​Python for Programmers 👇👇👇👇👇

Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras Invite your friends 🌹🌹 @DataScience_Books

Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlo
Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras 👇👇👇👇👇

Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide Invite your friends 🌹🌹 @DataScience_Books

Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide 👇👇👇👇👇
Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide 👇👇👇👇👇