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9 931 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

39 480

Machine learning in cognitive IoT Authors: Kumar, Neeraj; Makkar, Aaisha Year: 2020 👇👇👇👇👇

39 480

Create Model in Django - Tutorial for Beginners https://dev.to/sm0ke/create-model-django-1536 Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 480

Deep Learning with Python MEAP Share with your friends and colleagues 🌹🌹 @DataScience_Books Python English Group: @Python202

39 480

Deep Learning with Python MEAP Authors: Francois Chollet Edition: 2 👇👇👇👇👇

39 480

Deep Learning A Visual Approach [2021] Andrew Glassner Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 480

Deep Learning A Visual Approach [2021] Andrew Glassner 👇👇👇👇👇

39 480

Hands-On Simulation Modeling with Python - 2020 Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 480

Hands-On Simulation Modeling with Python - 2020 👇👇👇👇👇

39 480

Deep Transfer Learning on PyTorch Github: https://github.com/easezyc/deep-transfer-learning Paper: https://arxiv.org/abs/2106.09388v1 Invite your friends 🌹🌹 @DataScience_Books

39 480

Facebook's Reverse engineering generative models from a single deepfake image Github: https://github.com/vishal3477/Reverse_Engineering_GMs Paper: https://arxiv.org/abs/2106.07873 Facebook's blog: https://ai.facebook.com/blog/reverse-engineering-generative-model-from-a-single-deepfake-image/ Dataset: https://drive.google.com/drive/folders/1ZKQ3t7_Hip9DO6uwljZL4rYAn5viSRhu?usp=sharing Invite your friends 🌹🌹 @DataScience_Books

39 480

Deep Learning and Physics Invite your friends 🌹🌹 @DataScience_Books

39 480

Deep Learning and Physics 👇👇👇👇👇

39 480

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD Invite your friends 🌹🌹 @DataScience_Books

39 480

Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD 👇👇👇👇👇

39 480

Java Cookbook: Problems and Solutions for Java Developers, 4th Edition, final release Invite your friends 🌹🌹 @DataScience_Books

39 480

Java Cookbook: Problems and Solutions for Java Developers, 4th Edition, final release 👇👇👇👇👇

39 480

Hands-On SQL Server 2019 Analysis Services Invite your friends 🌹🌹 @DataScience_Books

39 480

Hands-On SQL Server 2019 Analysis Services 👇👇👇👇👇

39 480

Data Science Essentials in Python Invite your friends 🌹🌹 @DataScience_Books

39 480

Data Science Essentials in Python 👇👇👇👇👇