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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

Python for Data Analysts

Python for Data Analysts

前往频道在 Telegram

Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

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📈 Telegram 频道 Python for Data Analysts 的分析概览

频道 Python for Data Analysts (@pythonanalyst) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 51 569 名订阅者,在 技术与应用 类别中位列第 2 585,并在 印度 地区排名第 6 735 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 51 569 名订阅者。

根据 30 十月, 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 -222,过去 24 小时变化为 -13,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 5.96%。内容发布后 24 小时内通常能获得 0.97% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 498 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0。
  • 主题关注点: 内容集中在 visualization, panda, analyst, sql, analytic 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:
“Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics”

凭借高频更新(最新数据采集于 31 十月, 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。

51 569
订阅者
-1324 小时
-707 天
-22230 天
帖子存档
Building Python Microservices with FastAPI.pdf6.62 MB

Which of the following is/are immutable in Python?
Anonymous voting

Python Data Science Handbook Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. Creator: Jake Vanderplas Stars⭐️: 39k Fork: 17.1K Repo: https://github.com/jakevdp/PythonDataScienceHandbook For more, join https://t.me/pythonanalyst

Python for Data Analysts - Quick Summary (1).pdf0.64 KB

Python for Data Analysis Free Resources: Free Course: https://www.freecodecamp.org/learn/data-analysis-with-python/ Practice: https://www.kaggle.com/learn/python

Master Arrays in 14 days.pdf4.98 MB

Python for JavaScript Developers.zip233.77 MB

37 - Building Concurrent Applications Using Async IO

35 - Requests and Web Scraping with Python

38 - [EXTRA] Network Automation with Python - Part 02

28 - Hands-On Coding Challenges - Working With CSV Files

34 - Interactive Data Visualization with Plotly

31 - Hands-On Coding Challenges - Working With Excel Files

24 - Working with Python Modules

30 - Working with Excel Files in Python

32 - Working with SQL Databases in Python

23 - MASSIVE SECTION OF CODING CHALLENGE EXERCISES

27 - Working with CSV Files in Python

33 - Data Analysis with Pandas

38 - [EXTRA] Network Automation with Python - Part 01