Python Tips for Data Scientist

1. Preface
2. Python Environment
3. Notebooks
4. Confidential Information
5. Primer Functions
6. Data Structures
7. Data Read and Ingestion with DataBase
8. Working with AWS S3
9. pd.DataFrame vs PySpark DataFrame
10. pd.DataFrame manipulation
- 10.1. TODO..
11. rdd.DataFrame manipulation
12. Online Courses and Useful Websites
13. Package Wrapper
14. Publish Package to PyPI
15. Model Deployment with Flask
16. API Book
17. Main Reference

Python Tips for Data Scientist

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10. pd.DataFrame manipulation
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10. `pd.DataFrame` manipulation¶

Note

This Chapter Notebooks is for beginner. If you have some Python programming experience, you may skip this chapter.

10.1. TODO..¶

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© Copyright 2019, Wenqiang Feng and Jing Yang. Last updated on Dec 28, 2021.