what are different types of data structures?
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['Linear: arrays, lists.', 'Tree: binary, heaps, space partitioning etc.', 'Hash: distributed hash table, hash tree etc.', 'Graphs: decision, directed, acyclic etc.']
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There are two types of data structures as linear and nonlinear data structures. Linear data structures allow traversing through the items sequentially. On the other hand, in a nonlinear data structure, each element is attached to one or more elements creating a relationship among the items.
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['Integers.', 'Floating-Point Numbers.', 'Complex Numbers.', 'Strings. Escape Sequences in Strings. Raw Strings. Triple-Quoted Strings.', 'Boolean Type, Boolean Context, and “Truthiness”', 'Built-In Functions. Math. Type Conversion. Iterables and Iterators. Composite Data Type. Classes, Attributes, and Inheritance. Input/Output. ... ', 'Conclusion.']
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Dynamic data structures are designed to facilitate change of data structures in the run time. Static Data structure has fixed memory size whereas in Dynamic Data Structure, the size can be randomly updated during run time which may be considered efficient with respect to memory complexity of the code.
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A stack is an abstract data type that serves as a collection of elements with two principal operations which are push and pop. In contrast, a linked list is a linear collection of data elements whose order is not given by their location in memory. Thus, this is the main difference between stack and linked list.
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A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations. ... In simple words, a linked list consists of nodes where each node contains a data field and a reference(link) to the next node in the list.
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['#advantages:', 'Multiple data items of same data type can be accessed using single name.', 'Arrays can be used to implement matrices.', 'Data structure like queue , linked list can be accessed using arrays.', '#disadvantages :', 'We must know in advance that how many elements are to be stored in an array.', 'Array is static structure.']
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A data structure is a specialized format for organizing, processing, retrieving and storing data. While there are several basic and advanced structure types, any data structure is designed to arrange data to suit a specific purpose so that it can be accessed and worked with in appropriate ways.
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Examples of the linear data structure are array, queue, stack, linked list, etc. In contrast, tree and graph are the examples of the non-linear data structure. The memory is utilized efficiently in the non-linear data structure where linear data structure tends to waste the memory.
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['Numbers.', 'Strings.', 'Lists.', 'Dictionaries.', 'Tuples.', 'Files.', 'Other types include: Sets, types, None, Booleans.']
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['Pipes (Same Process) – This allows flow of data in one direction only. ... ', "Names Pipes (Different Processes) – This is a pipe with a specific name it can be used in processes that don't have a shared common process origin. ... ", 'Message Queuing – ... ', 'Semaphores – ... ', 'Shared memory – ... ', 'Sockets –']
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['Language types. Machine and assembly languages. Algorithmic languages. FORTRAN. ALGOL. LISP. C. Business-oriented languages. COBOL. SQL. Education-oriented languages. BASIC. Pascal. Logo. Hypertalk. Object-oriented languages. C++ Ada. Java. Visual Basic. Declarative languages. ... ', 'Elements of programming. Control structures. Data structures.']
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['Structured. Structured is one of the types of big data and By structured data, we mean data that can be processed, stored, and retrieved in a fixed format. ... ', 'Unstructured. ... ', 'Semi-structured. ... ', '1) Variety. ... ', '2) Velocity. ... ', '3) Volume. ... ', '1) Healthcare. ... ', '2) Academia.']
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A data type is just a class of values that can be concretely constructed and represented. Data type can't be reduced anymore, while a data structure can, as it consists of multiple fields of different data. However, most likely, I would use an analogy - a data type is an atom, while data structures are molecules.
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['Primitive data types: The primitive data types include boolean, char, byte, short, int, long, float and double.', 'Non-primitive data types: The non-primitive data types include Classes, Interfaces, and Arrays.']
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Arrays, linked lists, stacks, and queues are linear structures, while trees, graphs, heaps etc. are hierarchical structures. ... Also, every data structure specially suits to specific problem types depending upon the operations performed and the data organization. For example, an array is suitable for read operations.
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Arrays Vs Linked Lists An array is a collection of elements of a similar data type. Linked List is an ordered collection of elements of the same type in which each element is connected to the next using pointers. Array elements can be accessed randomly using the array index.