What are the different Data Types in Python?

 

Python is a free and open source high-level interpreted language and general-purpose programming language developed by Guido Van Rossum in 1991, the name Python has been taken from his favorite comedy show on BBC channel Monty Python’s Flying Circus. Python is relatively easy to use as it is as simple as the English language, and it has a straightforward syntax. It is designed with the purpose of code readability which means it allows the developers to develop programs with fewer lines of code which is easily understandable by everyone.

Python is used by professionals in many areas like Web Development, Machine Learning, Data Science and AI, SEO, Data Analysis, and Game Development. Python is a portable programming language. Learning Python is an easy way for beginners to learn a programming language. To learn more about this check out Python Courses in Bangalore. A data type in Python is used to identify the data type to store a variable. A variable is an element that is used to store data in memory with different kinds of values.

What are the different Data Types?


Python has several built-in data types that are pre-defined to classify its characteristics, which makes it easier to process the information. There are Six standard data types in Python which define the type of value you can assign to it, In simple data types determine the value type which a variable can hold and specify the operation to be performed. Take the next step in your learning journey and enroll now for Programming Languages Institutes in Bangalore

Numeric Data Type


Numeric Data types are used to represent a numerical value, which are classified into three categories :

Int: They are represented by a whole number, which can be either positive or negative.

 

 Example: num1= 25

 

Float: They are represented by a decimal point, which can be either positive or negative. 

 

Example: num1=27.5

 

Complex: They are represented using two parts of a number which are real and imaginary. 

 

Example:num1=5+4q, where 5 is the real part and 4q is the imaginary part. 

String Data Type


The string data type is a set phrase or collection of words that are enclosed within a single, double, or triple quotation mark and are separated using commas. Various operations can be performed using string. 

 

String Concatenation: It is a process of adding up two strings.

 

Example: str1=” Hello”

str2=” World” 

print(str1+str2)

Output: Hello World

 

String Slicing: It is a process of extracting different parts of a string. 

 

Example: String1 = "Hello"

print(String1[2:4])

Output: llo

 

String Repetition: It is a process of repeating a set of instructions a certain number of times. 

 

Example: str1=” Hello”

print(str1*3)

Output: HelloHelloHello

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List Data Type 


List Data Type is used to store a set of multiple values within the same field enclosed in a square bracket and separated by commas. It can contain any number of values with different data types. Lists are ordered mutable which means we can modify it and also allow duplicate values. 

 

Example: list = ["apple", "banana", "cherry"]

print(list)

Tuple Data Type


Tuple Data Type is used to store a set of multiple values within the same field enclosed in a parenthesis and separated by commas, they are similar to lists, the only difference between tuples and lists is tuples are immutable which means they cannot be modified after it has been created.

 

Example: tuple = ("apple", "banana", "cherry")

print(tuple) 

Set Data Type


A Set Data Type is a collection of unordered items used to store multiple items in a single variable where every element in a set is immutable, and no duplicates are allowed.

 

Example: set = {"apple", "banana", "cherry"}

print(set)

Dictionary Data Type 


A Dictionary Data Type is an unordered collection of values used to store data. Unlike other data types, a dictionary consists of a key-value pair, in a key-value pair Key-value is provided within the dictionary to make it more optimized. Each key-value is separated using a colon(:) whereas a comma(,) is used to separate each key.

 

Example: Dictionary1 = {1:'Hello',2:5.5, 3:'World'}

print(Dictionary1)

Output: {1: ‘Hello’, 2: 5.5, 3: ‘World’}

 

Python provides a variety of built-in data types, each suited for different purposes in programming. These include numeric, string, list, tuple, set, and dictionary data types. Python’s versatile data types enable developers to write clear, precise, and efficient code, adapting to different requirements and making it a powerful language for a wide range of applications. For those looking to dive deeper, enrolling in a course in the Python Courses in Marathahalli provides valuable insights and skills. 

 

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