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"In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data."

-- source: Wikipedia

Python knows how to work with of several types of data structures without the need to import additional libraries. Sometimes you do need to import a library to provide support (e.g. json, csv, sql) but most of these are already available when you have python installed. In rare cases you may need to build or acquire a third-party library for data structure support.

In these pages we mainly look at the most common data structures in python:

Name Examples Details
Tuple ('January', 'February', 'March', 'April', 'May')

(2, 3, 5, 7, 11, 13, 17, 19, 23, 29)

Once set, values cannot be changed

Referenced with index

List [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]

['red', 'green', 'orange', 'blue']

Values can be modified, added, deleted

Referenced with index

Dictionary {'Joe':02079343, 'Alice':010534045, 'Bob':01084523} Values can be modified, added, deleted

Referenced with a key

Set set example details
String string example details