O'Reilly logo

Hands-On Data Analysis with NumPy and pandas by Curtis Miller

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Diving into NumPY

By now you should have installed everything you need to use Python for data analysis. Let's now begin discussing NumPy, an important package for managing data and performing calculations. Without NumPy, there would not be any data analysis using Python, so understanding NumPy is critical. Our key objective in this chapter is learning to use the tools provided in NumPy.

In this chapter, the following topics will be covered:

  • NumPy data types
  • Creating arrays
  • Slicing arrays
  • Mathematics
  • Methods and functions

We begin by discussing data types, which are conceptually important when handling NumPy arrays. In this chapter, we will discuss NumPy data types controlled by dtype objects, which are the way NumPy stores and manages data. ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required