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

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

网络: Machine Learning with Python印度9 131技术与应用3 309...

📈 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 40 895 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 40 895 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

40 895

订阅者

+824 小时

+57 天

+8830 天

763

帖子浏览量

~ 36224 小时

~ 45648 小时

1.87%

参与率

~ 1

每日帖子数

Ads index

帖子存档

40 897

Technologies and Applications: Proceedings of AMLTA 2021 Authors: Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong Year: 2021 👇👇👇👇👇

40 897

A Tour Of Data Science: Learn R And Python In Parallel Invite your friends 🌹🌹 @DataScience_Books

40 897

A Tour Of Data Science: Learn R And Python In Parallel Authors: Nailong Zhang Year: 2021 👇👇👇👇👇

40 897

Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x Invite your friends 🌹🌹 @DataScience_Books

40 897

Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x 👇👇👇👇👇

40 897

What do you prefer more?

Anonymous voting

40 897

📈 NGBoost: Natural Gradient Boosting for Probabilistic Prediction Github: https://github.com/stanfordmlgroup/ngboost Slides: https://drive.google.com/file/d/183BWFAdFms81MKy6hSku8qI97OwS_JH_/view Paper: https://arxiv.org/abs/2106.03823v1 Invite your friends 🌹🌹 @DataScience_Books

40 897

Python Bootcamp: Exercises and Projects (2021) Invite your friends 🌹🌹 @DataScience_Books

40 897

Python Bootcamp: Exercises and Projects (2021) 👇👇👇👇👇

40 897

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data Invite your friends 🌹🌹 @DataScience_Books

40 897

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data 👇👇👇👇👇

40 897

🤖 DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Project: https://dynamicvit.ivg-research.xyz/ Github: https://github.com/raoyongming/DynamicViT Paper: https://arxiv.org/abs/2106.02034 Invite your friends 🌹🌹 @DataScience_Books

40 897

Network automation using Python 3 Invite your friends 🌹🌹 @DataScience_Books

40 897

Network automation using Python 3 👇👇👇👇👇

40 897

TensorFlow in 1 Day Make your own Neural Network Invite your friends 🌹🌹 @DataScience_Books

40 897

TensorFlow in 1 Day Make your own Neural Network 👇👇👇👇👇

40 897

Python Programming And Numerical Methods Invite your friends 🌹🌹 @DataScience_Books

40 897

Python Programming And Numerical Methods 👇👇👇👇👇

40 897

Deep_Learning_for_Natural_Language_Proce_v4_MEAP_source-code.zip3.22 MB

40 897

Deep Learning for Natural Language Processing, Version 4 Invite your friends 🌹🌹 @DataScience_Books