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Python Courses & Resources

Python Courses & Resources

前往频道在 Telegram

Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

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📈 Telegram 频道 Python Courses & Resources 的分析概览

频道 Python Courses & Resources (@python53) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 50 360 名订阅者,在 教育 类别中位列第 3 428,并在 印度 地区排名第 7 180

📊 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 50 360 名订阅者。

根据 27 八月, 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 385,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 2.96%。内容发布后 24 小时内通常能获得 1.26% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 492 次浏览,首日通常累积 635 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 consultation, dentist, insidead, waybienad, appointment 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:
Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

凭借高频更新(最新数据采集于 28 八月, 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 教育 类别中的关键影响点。

50 360
订阅者
-724 小时
-227
+38530
帖子存档
🦷 Your Dentist, Just One Tap Away! No waiting rooms. No appointments. Get instant access to qualified dentists from your pho
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More likes = more resources

Functional Programming with Python

Functional Programming with Python.zip232.74 MB

🔅 Functional Programming with Python 📝 Write more readable, maintainable code by making the switch to functional programmin
🔅 Functional Programming with Python 📝 Write more readable, maintainable code by making the switch to functional programming. Learn about the key concepts of functional programming and how to apply them in Python. 🌐 Author: Shaun Wassell 🔰 Level: Advanced ⏰ Duration: 1h 55m 📋 Topics: Functional Programming, Python

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Most people learn Python in random order. No wonder they feel stuck. This roadmap fixes that. Here are the 5 layers every dat
Most people learn Python in random order. No wonder they feel stuck. This roadmap fixes that. Here are the 5 layers every data professional must master, in order: 𝟭. 𝗖𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻) Variables, loops, functions, error handling, collections. Do not skip this. Everything else breaks without it. 𝟮. 𝗗𝗮𝘁𝗮 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 Pandas, NumPy, file handling, SQL integration, data cleaning. This is where your actual job begins. 𝟯. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 Matplotlib, Seaborn, EDA, statistical functions, hypothesis testing. Can you turn raw data into a decision? This layer teaches you how. 𝟰. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗟 Scikit-Learn, clustering, feature engineering, big data tools. This is what gets you promoted. 𝟱. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 Git, virtual environments, unit testing, workflow scheduling. This is what separates professionals from beginners. The mistake most people make, they jump straight to ML without nailing the foundation. You cannot build insights on broken code. Master the layers. In order. With real data. Save this roadmap and share it with someone who needs direction. Where are you on this right now? ♻️ Repost to help someone learning Python the right way https://t.me/CodeProgrammer

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