Foundational Python for Data Science

7

NumPy

Everything should be as simple as it can be, but not simpler.

Roger Sessions (interpreting Einstein)

In This Chapter

• Introducing third-party libraries

• Creating NumPy arrays

• Indexing and slicing arrays

• Filtering array data

• Array methods

• Broadcasting

This is the first of this book’s chapters on Data Science Libraries. The Python functionality explored so far in this book makes Python a powerful generic language. The libraries covered in this part of the book make Python dominant in data science. The first library we will look at, NumPy, is the backbone of many of the other data science libraries. In this chapter, you will learn about the NumPy array, which is an efficient multidimensional data structure.

Third-Party Libraries

Python ...