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Add decription to data structures (#32377)

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Domingo Moronta
2018-10-31 16:28:05 -07:00
committed by Paul Happ
parent 085b99faeb
commit 0fd1d30c43
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guide/english/python/data-structures/index.md
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title: The Python Data Structures title: The Python Data Structures
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A data structure is a particular way of organizing data in a computer so that it can be used efficiently. Python comes with a robust set of inbuilt data structures. Some of the most commonly used ones are :- A data structure is a particular way of organizing data in a computer so that it can be used efficiently. Python comes with a robust set of inbuilt data structures. Some of the most commonly used ones are:
* Lists * [Lists](https://docs.python.org/3/library/stdtypes.html#lists) — A sequence type where comma-separated values are ordered between square brackets and changeable.
* Tuples * [Tuples](https://docs.python.org/3/library/stdtypes.html#tuples) — A sequence type where values are ordered between parentheses and unchangeable.
* Dictionaries * [Dictionaries](https://docs.python.org/3/tutorial/datastructures.html#dictionaries) — An unordered collection that is changeable and indexed where values are held within curly braces in *key: value* pairs.
Majorly, the data structures can be divided into two categories :- Majorly, the data structures can be divided into two categories:
* Mutable :- A mutable data structure is a structure whose state can be modified after it is created. Python Lists and Dictionaries are mutable. * Mutable — A mutable data structure is a structure whose state can be modified after it is created. Python Lists and Dictionaries are mutable.
* Immutable :- An immutable data structure can't be modified. Example :- Once a tuple is created, we can't update the values inside it. * Immutable — An immutable data structure can't be modified. Example: Once a tuple is created, we can't update the values inside it.
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