Python Data Types

Python Data Types- An Overview

Vidhi Gupta
July 8th, 2024
49
4:00 Minutes

Python Data Types refer to a classification of certain specific kinds of data. There are different bases on which these data types in Python are categorized. To become a professional in this field, it is important to understand the Python data types. A Python expert extensively uses them for better utilization.

This section of the blog digs a little deeper into a thorough understanding of these. Let's move forward to first explore 'what is a data type in Python'.

What Are Python Data Types?

In Python, a data type pertains to a classification which is responsible for specifying the kind of value held by a variable. It also gives an implication of the operations that can easily be performed on these variables. These aspects make the fundamentals of programming. In fact, they are the ones that determine how the data is stored, manipulated and accessed within a program.

Since this programming language is dynamically typed, it eliminates the need to explicitly declare the type of the variable. It is the responsibility of the interpreter to infer the data type at the runtime. This is usually decided on the basis of the value that has been previously assigned to the variable.

Want to learn Data Type in Python in detail? Explore igmGuru's Python training program to learn Python like a pro.

Types of Data Types in Python

It is very important to completely learn about the types of data types contained in Python. This is a much-important knowledge for anyone looking to succeed.

Numeric Types

  • Float (float)- it represents real numbers that include fractions and decimal points. They are implemented by default via double precision (64-bit).
  • Integer (int)- it represents whole numbers without a decimal point. They have the ability to handle gigantic numbers.
  • Complex (complex)- it represents complex numbers that consist of a real and an imaginary part (which is denoted by 'j' suffix).

Set Types

  • Set (set)- it represents a haphazard accumulation of unique items. These are mutable and duplicate values are not allowed.
  • Frozen Set (frozenset)- these are quite similar to sets but are immutable. After a frozenset gets created, no elements can be changed.

None Types

  • NoneType- it represents a null value (or the absence of a value). It is basically a special type and has a single value, 'None'.

Sequence Types

List (list)- it represents a complete collection of items in a set order. Lists enable modification even after creation.

  • Range (range)- it represents a sequence of numbers that is immutable by nature.
  • String (str)- it represents a set sequence of characters. Since they are immutable, no changes can be done after creation.
  • Tuple (tuple)- these are similar to lists but are immutable.

Boolean Types

Boolean (bool)- it represents binary values that can be either 'False' or 'True'. They are most commonly utilized in logical operations and conditional statements.

Related Article- What Are The Top Features Of Python?

User-Defined Types

User-defined Python data types are supported by this language via classes. Developers can define classes to create custom objects. These are customized as per the specific needs of the users. The said objects have the capability to encapsulate behavior and data. This offers an exclusive manner of managing complex data interactions and structures.

Mapping Types

Dictionary (dict)- it represents an accumulation of key-value pairs. Every single key is immutable and unique. The values, however, can be of varying data type.

Binary Types

  • Bytes (bytes)- it represents an immutable sequence of different bytes. These are often utilized for binary data like network packets and files.
  • Bytearray (bytearray)- these are quite akin to bytes. But these are mutable which allows them to modify the byte sequences.
  • Memoryview (memoryview)- it offers means to access an object's internal data that provides support to the protocol but without even copying the data.

Iterators & Generators

  • Iterator- it refers to an object that represents a stream of data. This helps in returning a single element at a time. They implement the following methods - '_next_()' and '_iter_()'.
  • Generator- it refers to a unique iterator type that is created via functions as well as the usage of 'yield' keyword.

Conclusion For Python Data Types

Python classifies the required data types into various categories on different bases. A skilled professional should be aware of all Python data types to apply right operations on them. This understanding is the fundamental part of programming, as they decide how to manipulate, store or access the information.

FAQs For Python Data Types

Q1. What are the basic data types in Python?

Python has 4 basic data types including, Integer, Float, Boolean and String.

Q2. What are the basic numeric data types in Python?

The basic numeric data types in Python are integers (int) and floating-point numbers (float).

Q3. What are the basic sequence types in Python?

The basic sequence types in Python include strings (str), lists (list), tuples (tuple), and ranges (range).

Course Schedule

Course NameBatch TypeDetails
Python Training
Every WeekdayView Details
Python Training
Every WeekendView Details

Drop Us a Query

Fields marked * are mandatory
×

Your Shopping Cart


Your shopping cart is empty.