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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📈 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 3 309，并在 印度 地区排名第 9 102 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 13 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 -4，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 1.76%。内容发布后 24 小时内通常能获得 0.91% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 720 次浏览，首日通常累积 371 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 14 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。
40 897
订阅者
-424 小时
-77 天
+8830 天
帖子存档
40 897
Django for Beginners 3.1
Authors: William S. Vincent
Year: 2020
Edition: 3.1
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40 897
Python for Algorithmic Trading: From Idea to Cloud Deployment
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https://t.me/CodeProgrammer
40 897
Python for Algorithmic Trading: From Idea to Cloud Deployment
Authors: Yves Hilpisch
Year: 2021
Edition: 1
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40 897
MEAP Edition. Manning Early Access Program Cloud Native Machine Learning, Version 5
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MEAP Edition. Manning Early Access Program Cloud Native Machine Learning, Version 5
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40 897
👄 PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
Github: https://github.com/wtjiang98/PSGANhttps://github.com/wtjiang98/PSGAN
Paper: https://arxiv.org/abs/2105.12324v1
Dataset: https://buaaeducn-my.sharepoint.com/:u:/g/personal/jiangwentao_buaa_edu_cn/EcRNkF2bFY9AomfMfyd_B2ABUyZ7PtSeYoqFJKJbVvwMHg?e=PScTNw
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40 897
Hands-On Python Natural Language Processing: Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
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40 897
Hands-On Python Natural Language Processing: Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
Authors: Aman Kedia; Mayank Rasu
Year: 2020
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40 897
A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP
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40 897
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.
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40 897
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021
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40 897
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021
Authors: Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong
Year: 2021
Edition: 1
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40 897
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
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@DataScience_Books
40 897
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
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