Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems

Appendix: NumPy and Pandas

In this appendix, we discuss the NumPy and Pandas libraries. NumPy is one of the most important libraries, if not arguably the most important library, in the Python data science ecosystem. By wrapping data in custom-built NumPy objects optimized for manipulations commonly used in data science, NumPy provides the “atomics” of the “molecular data science ecosystem.” Pandas is another important data science library that provides quick tabular data functionality, such as storing, querying, manipulation, and more. Both of these libraries are important to understand to follow through the implementation and exercises in the book.

We will take a thorough look at both NumPy and Pandas in this chapter, with the objective of serving ...