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Overview of Data StructureData structure refers to a format of organizing, managing, and storing data which simplifies its access and modification. Some of the areas where data structures are used include large databases and internet indexing services where they provide a means of handling large amounts of data efficiently. They are also used in programming languages as the key organizing factor in software development. Some of the common data structure topics you are likely to encounter include:
An array is made up of elements in a specific order and mostly the elements are of the same data types. The elements of the array are usually accessed by an integer index which specifies which element is being referred to.
It is a linear collection of data elements of any type known as nodes. The order of the elements is not given by their physical placement in the collection but instead, each node points towards the next element in the list. The main advantage of linked lists is that elements can easily be inserted or removed from the sequence during iteration. However, access time is linear in linked lists and random access is not feasible. This makes linked lists slow compared to other data structures like arrays.
These are basic data structures that contain other values typically indexed by name. The elements of a tuple are known as fields and they, in most cases, are of different data types, typically infinite number and sequence.
A union is a data structure that specifies which primitive data type may be stored in its instances out of the permitted data types. Unlike a tuple, a union only takes one value at a time.
This is a data structure that contains object fields as well as methods that operate on the data contents.
These contain a finite set of nodes together with a set of unordered edges for undirected graphs and arrows for directed graphs.
This is a data structure that emulates the hierarchy of trees with a root value, parent node, and children nodes.
|AVL trees||Association lists|
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