Skip to main content

Basic Data Types: Numbers and Strings

  • Chapter
  • 187k Accesses

Abstract

All Python objects having a data type. Built-in Python data types, such as integers, floating point values, and strings are the building blocks for GIS scripts. This chapter uses GIS examples to discuss Python numeric data types, mathematical operators, string data types, and string operations and methods.

Keywords

  • Print Statement
  • String Method
  • String Variable
  • Carriage Return
  • Context Menu

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-18398-5_3
  • Chapter length: 22 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   79.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-18398-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   99.99
Price excludes VAT (USA)
Hardcover Book
USD   139.99
Price excludes VAT (USA)

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Tateosian, L. (2015). Basic Data Types: Numbers and Strings. In: Python For ArcGIS. Springer, Cham. https://doi.org/10.1007/978-3-319-18398-5_3

Download citation