Python’s Top 7 Data Types That Are Popular

Python’s Top 7 Data Types

Introduction

The Python programming language relies heavily on the idea of data kinds. Each value has a unique data type in Python. Data Types refers to the process of categorizing data objects or assigning a data value to a particular data category. Knowledge of the possible operations on a value is useful.

Everything is an object in the programming language Python where data types represent Classes. Variables are the terms used to describe the objects or instances of these classes.

The type of a variable is specified using Python Data Types. We will describe each data type’s capabilities in this post after listing them all. Read on to know various data types in Python.

What Are Python Data Types?

According to their traits and behaviors, data types in Python are used to classify or categorize data items. They specify what kinds of values variables can store

and how operations on those values should be carried out. Inbuilt data types in Python include string (str), boolean (bool), and collection types (list, tuple, dict, set) as well as numeric types (int, float, complex), boolean (bool), and string (str). Programmers can successfully manipulate and process data in their programs thanks to the unique set of features, techniques, and behaviors that each data type possesses.

Data types in Python can be of various kinds. The following are some examples of built-in Python data types:

1. Numeric data types (int, float, complex)

Complex numbers, floating point numbers, and integers are all included in the category of Python Numbers. In Python, floating point numbers are specified as a float, complex numbers as a complex class, and integers as an int. In this category, long is another datatype type that is present. To store longer integers, use this. This datatype was only present in Python 2.x and was later eliminated in Python 3.x.

The “Type()” function is used to determine a value or variable’s class. The “isinstance()” function is used to determine the value for a specific class.

2. String data types (str)

A string is a collection of characters. Unicode characters are supported by Python. Strings are often enclosed in single or double quotations. Unicode characters are arranged in a string. A string is referred to as str in Python. Use either double or single quotations to denote strings. If there are numerous strings, the usage of triple quotes “”” or “‘ might be used to indicate this. The string consists of every character contained between the quotation marks.

The machine system’s memory resources serve as the only restriction on the number of characters that can be entered. In the Python programming language, deleting or updating a string results in an error and is not permitted. Consequently, the Python programming language does not permit the manipulation of strings.

3. Mapping data type (dict)

Map Hash table values can be converted to any type of object using the mapping objects. There is a mapping type called dictionary in Python. It is changeable. The dictionary’s entries are given random keys. We can use a variety of items as the value, including lists, integers, and other mutable type objects.

Dictionary data type (python dict of dicts)

Using a mapping between a collection of keys and a set of values, the dictionary data type is a unique kind of data. It denotes a key-value pair with each element separated by a comma and contained in curly brackets. The colon denotes the separation of key-value pairs. The dictionary’s components are not in any particular order, and its key is different for each value. The dictionary’s elements are modifiable, meaning they can be altered after creation.

4. Boolean type (bool)

This data type is one of the built-in data types in Python. Boolean Data Type used to denote an expression’s truth value. Programming well in Python requires an understanding of how Python’s Boolean values operate.

The type bool is built-in, which means Python has access to it without having to import it. The name itself is not a term in the language, nevertheless.

5. Sequence types (list, tuple, range)

The Python sequence data type is used to hold the sequential data (in an organized manner), as its name suggests. A container that can hold several types of data might be thought of as the sequence data type in Python.

The Python programming language supports six different types of sequence data. They are strings, byte sequences, byte arrays, lists, tuples and a range of objects. You can learn various operations like basic tuple operations in Python through a course.

6. Binary types (bytes, byte array, memory view)

To work with binary data, Python’s byte and byte array functions are used. The buffer interface called memory view supports these bytes and byte arrays. The memory view doesn’t have to duplicate the data to access the memory of another binary object.

7. Set data types (set, frozen set)

Sets are used to store many things in a single variable. Data collections can be kept in sets, one of Python’s built-in data types. The remaining three, List, Tuple, and Dictionary, each have their own special properties and uses.

Unordered, immutable*, and unindexed collections are called sets.

Python Data Type Check

A program’s data structures that are used to hold data items are described by the type() function in Python. In Python, the data type of the variable is not explicitly specified when storing data pieces. As a result, we can establish the type of data stored in a variable using Python’s built-in type() function. The built-in Python function type() displays the type of a function’s arguments based on those arguments.

The type of an object is returned by the built-in Python type of function. Also, this function is polymorphic, allowing it to accept any type of argument and return any kind of value.

The type of function can be useful in debugging to assist in determining the type of an object. The type of argument provided to a function can also be verified using it. To determine an object’s type in Python, use type().

Conclusion

The cornerstone of any Python programming project is a knowledge of Python data types. Building reliable and effective applications requires a thorough understanding of and appropriate use of various data types. You will be equipped to handle challenging programming tasks if you have a firm grasp of the complexities of Python data types.

Python’s vast choice of data types, which makes it possible to implement a variety of applications with great efficacy, is one of the language’s key features. You can use Python to its fullest extent if you are familiar with these data types and associated functions.

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