Numerical Data Type in General
Before anything else, it's essential to familiarize ourselves with numeric data types, which are typically the ones we use the most.
Numeric data types typically include two primary built-in categories: integers (int) and floating-point numbers (float). To clarify, 'built-in' indicates that Python can handle them from the start, eliminating the need for us to define them in advance. So, you can simply use int/ float in Python without any additional specifications.
Integer represents the whole numbers you commonly encounter in your daily life, such as 1, 2, 45, or 456566.
On the other hand, floating-point numbers include values like pi (3.14159265359) and Euler's number (2.71828).
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Зміст курсу
Data Types in Python
1. Getting Familiar With Numbers in Python
4. Bring All the Topics Together
Data Types in Python
Numerical Data Type in General
Before anything else, it's essential to familiarize ourselves with numeric data types, which are typically the ones we use the most.
Numeric data types typically include two primary built-in categories: integers (int) and floating-point numbers (float). To clarify, 'built-in' indicates that Python can handle them from the start, eliminating the need for us to define them in advance. So, you can simply use int/ float in Python without any additional specifications.
Integer represents the whole numbers you commonly encounter in your daily life, such as 1, 2, 45, or 456566.
On the other hand, floating-point numbers include values like pi (3.14159265359) and Euler's number (2.71828).
Все було зрозуміло?
