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1.4.2 (a)

1.4.2

QuestionAnswer
Arrays A collection of items grouped under a single identifier - Contiguous - Static - Homogenous - Each item is identified by its index (position), starting at - Mutable - 3 dimensions:
1 Dimensional (Arrays) like a list, index like: [ ]
2 Dimensional (Arrays) like a table, index like: [row][column]
3 Dimensional (Arrays) like a cube, index like: [height] [length] [depth]
Contiguous all data stored together in memory
Static structure size cannot change at runtime
Homogenous only support a single data type
Mutable items can be changed/replaced after created
Records Collection of related fields stored under a single identifier Heterogenous All attributes must be defined before use, with each field being given a data type before use
Setting up a record 1. Define the structure and fields (names + data types) 2. Declare variables to go in it (the row headings) 3. Assign data
Heterogenous can store more than one data type
Lists Like arrays, but: - Heterogeneous - Not contiguous - Dynamic
Dynamic the size of the structure can change at runtime
Tuples (not necessarily 2 items) Like arrays, but: - Immutable - Heterogeneous Useful for data that isn't changed but accessed by index Use () in python Can include lists inside as elements
Immutable data cannot be modified
Created by: FlashCardFun!
 

 



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