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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 51 490 名订阅者,在 技术与应用 类别中位列第 2 607,并在 印度 地区排名第 7 356

📊 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 51 490 名订阅者。

根据 08 六月, 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 204,过去 24 小时变化为 -16,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 5.19%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 670 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 9
  • 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 09 六月, 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。

51 490
订阅者
-1624 小时
+447
+20430
帖子存档
Intermediate Python.pdf3.58 MB

Big Data Analytics_ A Hands-On Approach ( PDFDrive ).pdf

Python Variables: How to Define/Declare String Variable Types What is a Variable in Python? A Python variable is a reserved memory location to store values. In other words, a variable in a python program gives data to the computer for processing. Python Variable Types Every value in Python has a datatype. Different data types in Python are Numbers, List, Tuple, Strings, Dictionary, etc. Variables in Python can be declared by any name or even alphabets like a, aa, abc, etc. How to Declare and use a Variable Let see an example. We will define variable in Python and declare it as “a” and print it. 1 a=100 2 print (a)

🔹 Statistics in Python

📚 Title: Statistics and Data Visualisation with Python (2023)

14. Appendix Python Special Offers

13. Appendix Web Scraping with Python

12. Appendix SQL and Python

11. Appendix Statistics Overview

10. Machine Learning - Part 03

10. Machine Learning - Part 02

10. Machine Learning - Part 01

9. Example Projects - Part 02

9. Example Projects - Part 01

8. Data Visualization

7. Working with Data Part 3

6. Working with Data Part 2

5. Working with Data Part 1

4. Intro to Pandas

3. Learning Numpy