Skip to main content
  • 11k Accesses

Abstract

The best way to take full advantage of this book is to begin working on an IPython prompt by feeding it code and observing the output. You can use Anaconda IDE to avoid the need to install the required packages for the book. You can use Spyder IDE during an IPython session as well as editor to write multiline files. We suggest that you write detailed descriptive comments wherever needed to enhance understanding of workflow of the given code. This scheme works uniformly across all platforms. In this chapter, we will discuss the various kinds of data in Python and their categorization into several data types.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Sandeep Nagar

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nagar, S. (2018). Data Types. In: Introduction to Python for Engineers and Scientists. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3204-0_4

Download citation

Publish with us

Policies and ethics