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Learn Python Coding

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 39 469 名订阅者,在 技术与应用 类别中位列第 3 403,并在 印度 地区排名第 9 949

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 39 469 名订阅者。

根据 04 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 356,过去 24 小时变化为 7,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 1.27%。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 502 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 05 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。

39 469
订阅者
+724 小时
+737
+35630
帖子存档
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Pyramid Vision Transformer Image classification, object detection, and semantic segmentation tasks Github: https://github.com
Pyramid Vision Transformer Image classification, object detection, and semantic segmentation tasks Github: https://github.com/whai362/PVT Paper: https://arxiv.org/abs/2106.13797v2 Invite your friends 🌹🌹 @DataScience_Books

CAMS: Color-Aware Multi-Style Transfer Github: https://github.com/mahmoudnafifi/color-aware-style-transfer Paper: https://arx
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Deep Learning for Computer Vision (DL4CV) by WIAC, Spring 2021 https://youtube.com/playlist?list=PLUgbVHjDharjSSHF1EQq6h8FFp4XEX5AF

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VOLO: Vision Outlooker for Visual Recognition Github: https://github.com/sail-sg/volo Paper: https://arxiv.org/abs/2106.13112
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits https://t.me/CodeProgrammer

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📘 D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Github: https://github.com/d2l-ai/d2l-en Book: https://d2l.ai/ Paper: https://arxiv.org/abs/2106.11342v1 Invite your friends 🌹🌹 @DataScience_Books

How to Run #Jupyter_NoteBook On #Android Devices? Full answer here 👇👇 https://t.me/CodeProgrammer/419?single