Appendix 2
Practicing Using the Python Data Libraries
In Chapter 2, Mastering Python Programming, we covered the Python data libraries, including NumPy, Pandas, Matpotlib, and Seaborn. In this appendix, we will continue learning these libraries by practicing using them on the Google Colab platform (colab.research.google.com).
With a step-by-step approach, we will show how to use these libraries to manage and visualize data. For the NumPy library, we will discuss how to generate and operate NumPy arrays. For the Pandas library, we cover features including Series, DataFrames, missing data handling, GroupBy, and operations. For the Matpotlib and Seaborn libraries, we will show their features by exploring multiple data visualization examples. ...
Get Journey to Become a Google Cloud Machine Learning Engineer now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
