What are Python data types?

Python is one of the most important programming languages today. It is used for developing various applications, games, websites, as well as for creating artificial intelligence algorithms. In this article, we will look at what Python data types exist, what each of them represents, and what they are used for.

Additionally, we will discuss how to deepen and expand your knowledge of this programming language. A simple language, but with great depth. A Python course can open many doors for you in the job market, so pay attention, let's go!

What is data in Python?

Python data types are a fundamental concept that all students and professionals related to this programming language must understand. In Python, every value has its own data type. The classification of these values or their assignment to a specific category is what we call Python data types.

Python data types help to understand what operations can be performed on given values. This, given that Python is an object-oriented programming language, makes data types representatives of classes. Python is a widely used programming language with a large and active community.

In this sense, objects or instances associated with these classes are called variables. Each of these variables can store different data types, and each of these data types can be used for different purposes. Therefore, we can say that there are various Python data types. It is important for both beginners and experts to know what data types exist in this programming language. Let's delve a little deeper into this topic.

What data types exist in Python?

As we have seen, data types in Python are used to store specific values in programming. These include strings, lists, and numbers. Using the correct data type is very important because each has its own rules and operations. If you do not choose the correct data type when programming in Python, some functions may not execute.

Python is a relatively easy programming language to learn, with a large community that provides support for those who want to get started with it. One of the fundamentals to master is data types, which can be used to store information.

Here are some of the basic data types you can find in Python:

Numbers

Numbers are one of the data types in Python. We can use complex numbers, decimal numbers, or integers. Complex numbers are defined in Python as the "complex class", decimal numbers as "floats", and integers as "int".

Additionally, in this category, there is another data type used for storing long numbers.

• Integers: There is no upper limit for integer values.
• Decimal numbers: Allow up to 15 decimal places, using a dot to denote separation.
• Complex numbers: x+yj is an example representation of a complex number in Python.

Sequences
In Python, sequences are ordered collections of different data types, both similar and different. In sequences, we can store multiple values in an organized and efficient manner.

There are different types of sequences:

• String: strings are one or more characters. Essentially, it is a string of text wrapped inside the str tag.
• Lists: lists are what in other programming languages we know as arrays. They are flexible because not all their components have to be the same type.
• Tuple: like a list, a tuple is an ordered collection of objects in Python. They differ in that tuples are immutable, while lists can be changed.

Boolean
In Python, there are only two types of values for boolean elements: true or false. In general, they work and are a data type that exists in other programming languages as well.

Set
The Set data type in Python is used to group unique and unordered objects.

In Python sets, duplicate values are removed and only unique ones are kept. Operations such as intersection and union can be performed on one or more sets.

Dictionary
Dictionaries in Python are unordered collections of values that are used to store other data types in a map-like manner.

Unlike other data types, dictionaries store a pair of values, while other types can only store a specific value. This data type in Python is especially useful when a programmer deals with a large amount of data.