What are the Data Types in Python? | Python Jobs for Beginners

 

What are the Data Types in Python?

What are the Data Types in Python?

Introduction

Data Types are mainly the classification or categorization that is done to seamlessly represent several data items.

It also represents the kind of value that informs us what kind of operations can be performed on a particular data. 

As we know, everything is an object when it comes to Python programming, data types are mainly classes and variables are the instance (object) of these classes.


Data types are highly reliable for Python programming. In Python, these Data Types are completely independent of each other. Getting a sense of what operations can be performed on a value is useful.


So by now, we’ve got an overall knowledge about what Data Types are. It’s time to put our focus on the Data Types in Python and how each of them provides beneficial aspects.

Numeric

The Numeric Data Type represents the Data that consists of the numeric value. Numeric Data Type can be of several kinds like - Floating numbers, integers, and even complex numbers. These values are defined in Python as int, float and complex class.


Integers: This value is mainly represented by the int class and contains positive or negative whole numbers (without fractions and decimals). However, in Python, there are no limits as to how long an integer value must be.


Float: This value is mainly represented by the float class. With the floating-point representation, this is used as a real number and is specified with a decimal point. However, the character e or E can be optionally followed by a positive or negative integer. This perhaps can be attached to specify the scientific notations.


Complex Numbers: The complex class represents the complex numbers and is mainly specified as (real part) + (imaginary part)j. Such as 3+4j.

String

Strings are the arrays of bytes in Python that represent Unicode characters. A string is made up of one or more characters that are enclosed in a single, double, or triple quotation. However, there is no character data type in Python. A character is known as a one-length string. The str class is used to represent it.

List

Lists are the arranged collections of data, similar to arrays, which are declared in other languages. It is particularly adaptable because the list items don't have to be of similar types.

In Python, you may make a list by simply placing the sequence inside square brackets[ ].

Tuple 

Tuple, just like List, is an ordered collection of Python objects. The sole difference between a tuple and a list is that tuples are immutable, meaning that they can be generated once and cannot be changed. The tuple class is used to represent it.


Tuples are mainly created in Python by placing a sequence of values separated by a 'comma', with or without the use of parentheses for data grouping. Tuples can have any number of elements and any form of data (like strings, integers, lists, etc.).

Dictionary

A Dictionary is an unordered collection of data values in Python and is similar to a map, which is used to store data values. Unlike other Data Types, which only hold a single value as an element, Dictionary holds a Key-value pair, to make it more efficient. A colon separates each key-value pair in a Dictionary, whereas each key is separated by a 'comma'.

A Dictionary is built in Python by enclosing a series of entries in curly braces { } and separating them with a comma. In a dictionary, values can be of any data type and can be repeated, but keys cannot be copied and must be immutable. The built-in function dict ( ) can also be used to generate a dictionary. Simply putting it in curly brackets{ } creates an empty dictionary.

Sets

Set is an unordered data type collection that is iterable, changeable, and consists of no duplicate elements in Python. However, the order of the elements in a set is indefinite, even if it contains a variety of them.

Sets can be generated with the built-in set() function and an iterable object or a sequence by enclosing the sequence in curly braces and separating it with a comma. A set's elements don't have to be of the same type; various mixed-up data type values can also be provided to it.


Python Jobs for Beginners


Python Job openings in India

Learning Python is not only Beneficial for your coding skills but also it has given millions of people a new direction to start their Careers in the World of Technology.

In India, several young and aspirational students are in search of jobs that define their capabilities and talents in Coding and Programming.

Jobs that are building the foundation for several businesses and companies , are now setting rigid milestones for newbies in the technology sector.

Conclusion 

Python is currently one of the most popular programming languages. It enables programmers to concentrate all of their efforts on implementation rather than elaborate programmes. It has a greater readability and accessibility. Any programming language requires a deep comprehension of its fundamental concepts in order to comprehend and better use it.

People are seeking for great new opportunities and are climbing the steps towards growth and innovation, all because of their skill sets and knowledge about the programming languages, languages of a Greater Future.

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