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Data structure
Data structure refers a way of organising a data so that we can perform various operations on that data . I am giving an example ,lets we have data player name "sonam" and her age is 26. Here "sonam" is of String data type and 26 is of integer data type. with the help of that we can use data effectively. there are various topics of data structure are arrays , linked list , pointers and graphs. there are two types of data structure primitives data structiures and non primitive data structures . Primitive Data Structures are known as basic data structures that openly operate on the machine instructions and Non-primitive data structures are very complex data structures and are generated from primitive data structures. example of primitives data structures are integer , float , character , pointers. examples of non primitives data structures are array , linked list. in list there are two types of list such as linear list and non linear list . stacks and queues are the examples of linear list and graphs and trees are examples of non linear list. We can performs various operations on Data in data structures such as transversing , searching , insertion , deletion etc.
Data Structure Homework help
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Various data structures include Stack, Array, Linked rundown and Queue. data structures are utilized as a part of various PC applications, for example, looking, arranging, diagram navigating, finding the briefest way starting with one city then onto the next, settling movement issues, in preparing on the web demands or online exchanges, alarming clients of securities exchange costs, booking of occupations in working frame.
Data Structure is a collection of related data which is stored in the memory .There are various operation applied to the data item that is Add, Insert, Delete, Locate, Access, Sort the data.We can create the data structure in two ways:- Static , Dynamic Static:-In static ,we can't change the size of data structure during execution of a program .The size of data structure is fixed during coding of programme Dynamic:-In dynamic we can change the size of data structure during execution of programme. We can shrink or expand the size based on the requirements.
In data structure, information is organized in form of files,list,arrays,queue,trees,tables etc.
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Few topics Covered by Online Data Structure experts :
- Pointers, dynamic memory allocation, Pointers and arrays,structures, Abstract data types (adt) & fundamentals of linked lists, Linked list operations, Stack abstract data type, linked list implementation, Queue abstract data type, Algorithm analysis & linked list types: doubly linked lists
- Tree adt and binary search tree, Avl tree, Heaps, Java. Basic goals and concepts, Object oriented programming., Encapsulation., Inheritance., Polymorphism, Xtreme programming, debugging, testing, application of oo concepts., Basic data structures. Stacks, queues, linked lists, Algorithm analysis, Recursion., Sorting., Trees., Hash tables, Balanced trees. Splay trees. Red-black trees. B trees. Union-find trees., Priority queues. Binary heaps.
- Graphs. Graph algorithms, C# and .net. Syntax, I/o, properties, Operator overloading, gui, Use of a modern ide with intellisense, Snippets, refactoring, and other tools;, Debugging tools, Generics; type-casting;, Exception handling; inheritance, Enumerators and interfaces, Arrays, lists, strings, stacks, queues, priority queues,, Linked lists, trees, binary search trees, Balanced binary search trees,, Btrees, max and min heaps, associative containers
- Data structures implementations in the .net library, Recursion., Sorting, searching, and other algorithms., Performance issues for common data structures and algorithms., Execution profiling tool and algorithm analysis with big-oh notation.
