Difference between revisions of "Python-datastructures"

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

Revision as of 06:55, 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:


  • lists
  • dictionaries
  • arrays
  • tuples