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.
Follow these examples and make sure you understand each of them. Practicing each example on Google Colab will yield the best results.
