6 Basic Data Types in Python

6 Basic Data Types in Python

Python is an interpreted, high-level, general-purpose programming language. It is a versatile language that is used in many different applications and projects. One of its most useful features is the ability to quickly and easily manipulate data types.

Integer- The first data type in Python is the integer. Integers are whole numbers, such as 1, 2, 3, and so on. They are used to represent whole numbers and can be used in calculations, such as addition, subtraction, multiplication, and division.

Floats- Numbers with decimal points, such as 1.0, 2.5, and so on. They are used to represent real numbers, such as measurements or currency, and can be used in calculations, such as addition, subtraction, multiplication, and division.

Strings- Strings are sequences of characters, such as "Hello World" or "This is a string". They are used to store text and can be used in string manipulation, such as concatenation (joining two strings together), splitting (separating a string into parts), and searching (finding specific characters within a string).

Boolean- The fourth data type in Python is the Boolean. Booleans are either True or False and are used in logical operations, such as comparison, if statements, and loops.

Lists- Lists are collections of items, such as [1, 2, 3, 4]. They are used to store collections of items and can be used in list manipulation, such as sorting, reversing, and searching. The sixth data type in Python is the tuple. Tuples are ordered collections of items, such as (1, 2, 3, 4). They are similar to lists but are immutable, meaning that they cannot be changed once they are created.

Dictionary- Finally, the seventh data type in Python is the dictionary. Dictionaries are key-value pairs, such as {'name': 'Bob', 'age': 25}. They are used to store key-value pairs and can be used in dictionary manipulation, such as searching, adding, and deleting values. In conclusion, there are seven basic data types in Python.

Each data type has its own purpose and can be used in different ways. Understanding these data types is essential for any Python programmer. Contact us for a Python Programming Course.