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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 40 903 名订阅者,在 技术与应用 类别中位列第 3 283,并在 印度 地区排名第 9 116 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 40 903 名订阅者。

根据 04 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 252,过去 24 小时变化为 21,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 5.06%。内容发布后 24 小时内通常能获得 0.96% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 069 次浏览,首日通常累积 391 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3。
  • 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 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。

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40 903
订阅者
+2124 小时
+307 天
+25230 天
帖子存档
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📚 Operating OpenShift (2023) 🔗 Download Link: https://safefileku.com/download/bYJ9BMhA01cxX3Tn 💬 Tags: #OpenShift ⛔️ ➕ int
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Machine Learning and AI Foundations: Causal Inference and Modeling

🔅 Machine Learning and AI Foundations: Causal Inference and Modeling 🔊 Author: Keith McCormick 🔸 Date: 2022-07-22 ⏰ Durati
🔅 Machine Learning and AI Foundations: Causal Inference and Modeling 🔊 Author: Keith McCormick 🔸 Date: 2022-07-22 ⏰ Duration: 2h 51m 🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them. 📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence

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📚 How to Code in Python 3 (2023) 🔗 Download Link: https://file.lu/d/1Wa4 💬 Tags: #python ⛔️ ➕ interaction = ➕ books ✅ By:
📚 How to Code in Python 3 (2023) 🔗 Download Link: https://file.lu/d/1Wa4 💬 Tags: #python ⛔️ ➕ interaction = ➕ books ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

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