Difference between revisions of "Python-datastructures"

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|('January', 'February', 'March', 'April')
 
|('January', 'February', 'March', 'April')
 
|Once set, values cannot be changed.  
 
|Once set, values cannot be changed.  
Can be referenced with index.
+
Referenced with index
 
|-
 
|-
 
|List
 
|List
 
|[1, 2, 3, 4, 5]
 
|[1, 2, 3, 4, 5]
 
|Values can be modified, added, deleted.  
 
|Values can be modified, added, deleted.  
Can be referenced with index.
+
Referenced with index
 
|-
 
|-
 +
|Dictionary
 +
|{'Joe':02079343, 'Alice':010534045, 'Bob':01084523}
 +
|Values can be modified, added, deleted
 +
Referenced with a key
 +
-
 
|Array
 
|Array
|arrayexample
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|array example
|details
 
|-
 
|Tuple
 
|tuple example
 
 
|details
 
|details
 
|}
 
|}

Revision as of 07:28, 23 December 2020

"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


Examples of data structures:

  • [61, 22, 53, 48, 27]
  • {"id": 324, "type": 4, "size": 19}


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 Example Details
Tuple ('January', 'February', 'March', 'April') Once set, values cannot be changed.

Referenced with index

List [1, 2, 3, 4, 5] 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 -

Array array example details