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9 923 技术与应用3 407...

📈 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 39 481 名订阅者，在 技术与应用 类别中位列第 3 407，并在印度地区排名第 9 923 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 39 481 名订阅者。

根据 05 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 345，过去 24 小时变化为 10，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 1.23%。内容发布后 24 小时内通常能获得 1.09% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 484 次浏览，首日通常累积 430 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 06 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。

39 481

订阅者

+1024 小时

+727 天

+34530 天

484

帖子浏览量

~ 43024 小时

~ 59848 小时

1.23%

参与率

~ 4

每日帖子数

Ads index

beta

帖子存档

39 481

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective Techniques for Processing Complex Image Data in Real Time Using GPUs Invite your friends 🌹🌹 @DataScience_Books

39 481

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective Techniques for Processing Complex Image Data in Real Time Using GPUs 👇👇👇👇👇

39 481

XCiT: Cross-Covariance Image Transformers Github: https://github.com/facebookresearch/xcit Paper: https://arxiv.org/abs/2106.09681v1 Invite your friends 🌹🌹 @DataScience_Books

39 481

SimSwap: An Efficient Framework For High Fidelity Face Swapping! 😯 👉🏼 GitHub repo: https://github.com/neuralchen/SimSwap 👉🏼 Paper: https://arxiv.org/pdf/2106.06340v1.pdf Invite your friends 🌹🌹 @DataScience_Books

39 481

Beginning Machine Learning in the Browser (2021) Invite your friends 🌹🌹 @DataScience_Books

39 481

Beginning Machine Learning in the Browser (2021) 👇👇👇👇👇

39 481

Learning SQL, Third Edition Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 481

Learning SQL, Third Edition 👇👇👇👇👇

39 481

⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks Github: https://github.com/pysentimiento/pysentimiento Paper: https://arxiv.org/abs/2106.09462 English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 481

Machine Learning cheatsheet (very important) https://t.me/CodeProgrammer

39 481

RoadMap: Machine Learning https://t.me/CodeProgrammer

39 481

RoadMap: Porbability and Statistics https://t.me/CodeProgrammer

39 481

RoadMap: NLP Based On Deep Learning https://t.me/CodeProgrammer

39 481

RoadMap: Text Mining (NLP Background) https://t.me/CodeProgrammer

39 481

Machine learning in cognitive IoT Share with your friends and colleagues 🌹🌹 @DataScience_Books

39 481

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