# Numbers

Let's dive into numbers first. Python has the following numerical types:

`int`

- for integer numbers (e.g.,`3`

,`-1`

,`1003`

);`float`

- for decimal numbers (e.g.,`2.8`

,`3.333`

,`-3.0`

);`complex`

- for complex numbers (e.g.,`3+2j`

).

We'll focus on the first two types since the `complex`

type is typically reserved for scientific applications. Let's say we want to determine how many days are in 792 hours and how many seconds are in an hour. We'll crunch these numbers and identify their types.

Here's a quirky outcome! Even though both numbers were integers (of type `int`

), their division resulted in a `float`

type (yielding `33.0`

). But why? Isn't `33.0`

essentially an integer? Well, in math, it is. But Python, being cautious, recognizes that dividing two integers won't always give an integer result (unlike multiplication, subtraction, or addition).

NoteIf you need to switch between numerical types, use

`int()`

to convert to integer,`float()`

for decimal, and`complex()`

for complex number. When you convert a decimal to an integer, Python drops the decimal portion without rounding.

NoteWhen converting a floating-point number to an integer, the process

truncates the number by removing the decimal portion, rather than rounding it mathematically.

¿Todo estuvo claro?

Contenido del Curso

Introduction to Python

## Introduction to Python

3. Conditional Statements

# Numbers

Let's dive into numbers first. Python has the following numerical types:

`int`

- for integer numbers (e.g.,`3`

,`-1`

,`1003`

);`float`

- for decimal numbers (e.g.,`2.8`

,`3.333`

,`-3.0`

);`complex`

- for complex numbers (e.g.,`3+2j`

).

We'll focus on the first two types since the `complex`

type is typically reserved for scientific applications. Let's say we want to determine how many days are in 792 hours and how many seconds are in an hour. We'll crunch these numbers and identify their types.

Here's a quirky outcome! Even though both numbers were integers (of type `int`

), their division resulted in a `float`

type (yielding `33.0`

). But why? Isn't `33.0`

essentially an integer? Well, in math, it is. But Python, being cautious, recognizes that dividing two integers won't always give an integer result (unlike multiplication, subtraction, or addition).

NoteIf you need to switch between numerical types, use

`int()`

to convert to integer,`float()`

for decimal, and`complex()`

for complex number. When you convert a decimal to an integer, Python drops the decimal portion without rounding.

NoteWhen converting a floating-point number to an integer, the process

truncates the number by removing the decimal portion, rather than rounding it mathematically.

¿Todo estuvo claro?