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9 931 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

39 487

A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP Invite your friends 🌹🌹 @DataScience_Books

39 487

A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP Authors: Jose Manuel Gomez-Perez, Ronald Denaux, Andres Garcia-Silva Year: 2020 Edition: 1st ed. 👇👇👇👇👇

39 487

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 Invite your friends 🌹🌹 @DataScience_Books

39 487

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 Authors: Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong Year: 2021 Edition: 1 👇👇👇👇👇

39 487

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school CS224W: Machine Learning with Graphs - Stanford / Winter 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW Full Stack Deep Learning - Spring 2021 - UC Berkeley https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9 Introduction to Deep Learning (I2DL) - Technical University of Munich https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk 3D Computer Vision - National University of Singapore - 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ CV3DST - Computer Vision 3: Detection, Segmentation and Tracking https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe ADL4CV - Advanced Deep Learning for Computer Vision https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz Invite your friends 🌹🌹 @DataScience_Books

39 487

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks Github: https://github.com/antonio-mastropaolo/T5-learning-ICSE_2021 Paper: https://arxiv.org/pdf/2102.02017.pdf Invite your friends 🌹🌹 @DataScience_Books

39 487

Repost from Data Science Books

Noisy data includes

Anonymous voting