EconPapers    
Economics at your fingertips  
 

An Overview of Python

Jason S. Schwarz, Chris Chapman and Elea Feit
Additional contact information
Jason S. Schwarz: Google
Chris Chapman: Google

Chapter Chapter 2 in Python for Marketing Research and Analytics, 2020, pp 9-45 from Springer

Abstract: Abstract In this chapter, we cover just enough of Python to get you going. If you’re new to programming, this chapter will get you started well enough to be productive and we’ll call out ways to learn more at the end. Python is a great place to learn to program because its syntax is simpler and it has less overhead (e.g. memory management) than traditional programming languages such as Java or C+ +. If you’re an experienced programmer in another language, you should skim this chapter to learn the essentials.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-49720-0_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030497200

DOI: 10.1007/978-3-030-49720-0_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-02-09
Handle: RePEc:spr:sprchp:978-3-030-49720-0_2