What are Data Structure & their Function in Python?

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Data Structure in Python

What is Python?

First, we are going to understand Python language.

Python is considered a dynamic language. Python is a high-level language programming language because it is considered an open-source and community-driven source that can be compiled or run just in time. Basically, Python is used for general purposes, an interesting high-level programming language. Who design to emphasize code readability. Python has a large comprehensive library.

So that Python is the most common language all over the world and is also considered the easiest language compared to other programming languages. Python is considered one of the best back-end languages which is considered all mathematical language or data manipulation. For learning Python or enhancing your skill in your resume there so many Python training centers such as “Dreamer Infotech Python Training Institute in Faridabad“. 

Let’s understand what are a data structure and its functions and files.

What is Data structure in Python?

In Python, there are types of data structure are considered and all are arranged data structure which is suited to a specific purpose. A data structure is considered a special format for processing, Organizing, Retrieving, and most commonly storing data. 

The work of data structure in Python is that data structure makes it easy to access or store data appropriately and most of all data structure helps to make blocks for more sophisticated applications.

They are basically designed by composing data elements convert them into a logic unit an abstract data type. Data types or data structures are types of building blocks of particular algorithms and computer program, or it is considered primitive base.

Let’s understand the types of data structure:

There are several types of data types or data structure 

  • Array
  • Stack
  • Linked list
  • Queue
  • Tree
  • Heap
  • Graph
  • Trie
  • Hash

Let’s understand these terms one by one.

1. Array

An Array is considered that holds a collection of integers, Floating point numbers, or even another array. An array is considered to store a collection of items at adjoining memory locations those items which have the same type are stored and considered as an element and each element is calculated or retrieved easily in the form index. 

2. Stack

A stack has a collection of items in which linear or lined order operations are applied.

3. Linked list

We can understand these terms that are considered stores a collection of such items in linear order. Each element or a particular node has a linked list that recommends a data item, a linked list of data structures is a particular set of nodes that contains specific data or point to the specific pointer to the next node.

4. Queue

A queue is considered which stores a collection of items like a stack.

5. Tree

We can understand this term by this term tree in which a collection of items are stored hierarchically or in an abstract manner.

Every node is specified with a particular key value or in a hierarchical manner ancestor to the child node. These are considered also sub-nodes. In the term, one node is work as a parent node and the other one is connected as a child node.

6. Heap 

A heap is considered a tree-based structure in which every ancestor node has a particular key value that is equal to or greater than the key value and works as a children’s key value.

7. Graph

A graph is considered a collection in which items are stored in a non-linear manner. Items stored in the best or finite manner are called vertices and lines are connected to them to store that particular items.

8. Trie

A trie is also considered a keyword tree in which data type store strings are considered organized as a visual graph. 

9. Hash

A Hash table–also known as a hash map has or stores a collection of items in a statistical array that plots the value of the key to an array. The hash function converts the particular index into an array of buckets.

Let’s understand the characteristics of data structure

Characteristics of Data Type or Data Structure

  • Linear or non-linear
  • Static or dynamic

1. Linear or Non-linear

Linear or non-linear refers to the term in which items or terms are arranged in a sequenced manner for instance in an array or a particular unordered graphical sequence and also present in a graphical manner. 

2. Static or Dynamic

Static or dynamic refers to the term in which data types or structures are compiled to convert compiled the particular data type to have structure and memory location at compile time dynamic data structures have particular structure and memory location can shrink too.

Let’s understand the functions of data types.

Functions of Datatypes

The data type is considered some kind of field or variable in which text or numbers are considered.

Data types are considered 

1. Numeric

The term numeric holds numeric values in which int, Float, and complex are included.

2. String

A string holds the sequence of characters which include str.

3. Mapping

Mapping refers to the term in which it holds the data in key-value pair form including diet.

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