List of important data structures in computer science
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This is a list of data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running time of subset of this list see comparison of data structures.
Data typesEdit
Primitive typesEdit
Boolean, true or false.CharacterFloating-point numbers, limited precision rational number values.Including Single precision and Double precision IEEE 754 Floats, among othersFixed-point numbersInteger, integral or fixed-precision values.Reference (also called a pointer or handle), a small value referring to another object's address in memory, possibly a much larger one.Enumerated type, a small set of uniquely named values.
Composite types or non-primitive typeEdit
ArrayRecord (also called tuple or structure)String, a sequence of characters.UnionTagged union (also called variant, variant record, discriminated union, or disjoint union)
Abstract data typesEdit
ContainerListTupleAssociative arrayMultimapHeapSetMultiset (bag)StackQueueDouble-ended queuePriority queueTreeGraph
Some properties of abstract data types:
StructureOrderUniqueListyesnoAssociative arraynoyesSetnoyesMultisetnono
Data typesEdit
Primitive typesEdit
Boolean, true or false.CharacterFloating-point numbers, limited precision rational number values.Including Single precision and Double precision IEEE 754 Floats, among othersFixed-point numbersInteger, integral or fixed-precision values.Reference (also called a pointer or handle), a small value referring to another object's address in memory, possibly a much larger one.Enumerated type, a small set of uniquely named values.
Composite types or non-primitive typeEdit
ArrayRecord (also called tuple or structure)String, a sequence of characters.UnionTagged union (also called variant, variant record, discriminated union, or disjoint union)
Abstract data typesEdit
ContainerListTupleAssociative arrayMultimapHeapSetMultiset (bag)StackQueueDouble-ended queuePriority queueTreeGraph
Some properties of abstract data types:
StructureOrderUniqueListyesnoAssociative arraynoyesSetnoyesMultisetnono
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Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions
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