[go: up one dir, main page]

Skip to content

This repository contains programs in the C programming language related to Data Structures.

Notifications You must be signed in to change notification settings

madhurimarawat/Data-structure-using-C

Repository files navigation

Data-structure-using-C

This repository contains programs in the C programming language related to Data Structures.


About C Programming



--> C is a general-purpose programming language.

--> It is Procedural Programming language.

--> It has been used to develop operating systems, databases and applications.

--> It is Middle Level Programming language and gives more control to Programmer.


Mode of Execution used

GCC Compiler

--> GCC stands for GNU C/C++ Compiler.

--> To begin with GCC, visit the official website  

--> Download GCC according to the platform being used like Linux, MacOs or Windows.

--> Follow the setup wizard.

--> Write c code in any text editor or IDE and save it with .c extention.

--> Then just open the console and run this command -

gcc filename.c -o Output

--> Filename is the name of the C script file and Output is the name of the output file.

--> After this command is executed, if the code is successfully compiled output file will be saved in the same location as the code file.

--> Once this Output file is executed in command prompt, the output will be displayed.


C Programming Features


Data Structures

--> A data structure is a storage that is used to store and organize data.

--> It is a way of arranging data on a computer so that it can be accessed and updated efficiently.

Data Structures in C

1. Linear data structure:

Data structure in which data elements are arranged sequentially or linearly, where each element is attached to its previous and next adjacent elements, is called a linear data structure.

i) Static data structure

--> Static data structure has a fixed memory size.

--> It is easier to access the elements in a static data structure.

a) Array

-->An Array is a sequential collection of elements, of the same data type.

--> They are stored sequentially in memory. An Array is a data structure that holds a similar type of elements.

ii) Dynamic data structure:

--> Dynamic data structure: In dynamic data structure, the size is not fixed.

--> It can be randomly updated during the runtime which may be considered efficient concerning the memory (space) complexity of the code.

a) Queue

--> A Queue is a linear data structure that stores a collection of elements.

--> The queue operates on first in first out (FIFO) algorithm.

b) Stack

--> A stack is a linear data structure.

--> It follows the last in first out approach.

--> A new item is added at the top of a stack.

--> Both insert and deletion operation is performed from one end of the stack.

c) Linked List

--> A Linked List is a data structure.

--> The Linked List is like an array but, the Linked List is not stored sequentially in the memory.

--> Every linked list has 2 parts, the data section and the address section that holds the address of the next element in the list, which is called a node.

2. Non-linear data structure:

Non-linear data structure: Data structures where data elements are not placed sequentially or linearly are called non-linear data structures. In a non-linear data structure, we can’t traverse all the elements in a single run only.

a) Tree

--> A tree is a data structure that has one root node and many sub-nodes.

--> It is another one of the data structures which are designed on top of a linked list.

b) Graph

--> A Graph is a non-linear data structure consisting of vertices and edges.

--> The vertices are sometimes also referred to as nodes and the edges are lines or arcs that connect any two nodes in the graph.

--> More formally a Graph is composed of a set of vertices( V ) and a set of edges( E ).

--> The graph is denoted by G(E, V).

Thanks for Visiting 😄

Drop a 🌟 if you find this repository useful.

If you have any doubts or suggestions, feel free to reach me.

📫 How to reach me:   Linkedin Badge     Mail Illustration📫