Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Data Analysis with NumPy and pandas

You're reading from   Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789530797
Length 168 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Curtis Miller Curtis Miller
Author Profile Icon Curtis Miller
Curtis Miller
Arrow right icon
View More author details
Toc

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. We'll also briefly introduce NumPy arrays called ndarray and discuss what they do.

...
You have been reading a chapter from
Hands-On Data Analysis with NumPy and pandas
Published in: Jun 2018
Publisher: Packt
ISBN-13: 9781789530797
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at R$50/month. Cancel anytime