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# Data types in Python: Numerics

## Integers, float, complex in Python - and some fundamentals methods to manipulate them!

# Introduction

Last time we reviewed the string and numerous handy methods to manipulate and format strings.

Today we will explore the numeric type and a few methods to work with them.

# Data type: Numeric

Python has three numeric data types:

`int`

(integers)`float`

(floating-point)`complex`

(complex)

## Integers

Integer, like other programming languages, is a whole number, positive or negative without decimals.

Example: `3`

, `-204`

, `123456`

## Float

A float is simply a number, positive or negative, that contains a decimal

Example: `3.1`

, `-204.36`

, `123456.789`

## Complex

Complex numbers are a mathematical way to express numbers with two parts: a real part, and imaginary parts. Complex numbers allow you to solve advanced mathematics problems.

Without going into details, I invite you to search more about complex numbers on the net.

Just know that with Python, the imaginary part is expressed with `j`

(and not `i`

like my Maths teacher taught me 👨🏫).

Example: `3+5j`

, `5j`

, `-5j`

# Methods

Let's explore some fundamentals methods you may want to use with numeric.

## Basic Math Operators

Operators | Operation | Example |

** | exponent | 3 ** 3 = 9 |

% | modulus/remainder | 10 % 3 = 1 |

// | integer division | 10 % 3 = 3 |

/ | division | 10 % 3 = 3.3333- |

* | multiplication | 3 * 3 = 9 |

- | subtraction | 10 - 3 = 7 |

+ | addition | 10 + 3 = 13 |

These are classed by *highest* to *lowest* order or precedence

For example: `2 + 3 * 3 ** 2`

is equivalent to `2 + ( 3 * (3 ** 2) ) = 29`

(if my calculations are correct! 😄).

☝️ Note that when doing division you might convert an `int`

into a `float`

, for example:

```
x = 5
y = 2
print(type(x/y) is float)
# >> True (we started with two `int` and ended up with float!)
```

## Advanced Math Operators

For any advanced math operations, Python has a built `math`

module that contains a long list of advanced math operators, such as `math.acos()`

for the arc cosine of a number.

It also contains some universal constants, such as `math.pi`

.

You can find the list of operators here.

## Assignment operators

Python also comes with assignment operators that allow you to assign and perform a math operation at the same time.

Operator | Example | Same as | Result if x = 3 |

= | x = 3 | x = 3 | x = 3 |

+= | x += 3 | x = x + 3 | x = 6 |

-= | x -= 3 | x = x - 3 | x = 0 |

*= | x *= 3 | x = x * 3 | x = 9 |

/= | x /= 3 | x = x / 3 | x = 1 |

%= | x %= 3 | x = x % 3 | x = 0 |

**= | x **= 3 | x = x ** 3 | x = 27 |

## Comparison Operators

Operator | Name |

== | equal |

!= | not equal |

> | great than |

< | less than |

>= | greater than or equal to |

<= | less than or equal to |

## Conversion

The last thing I want us to cover is how we do type conversion.

That is if I have an integer, or do I convert it to a float?

It's pretty simple, we use `int()`

and `float()`

.

You can also use `str`

to convert them to string!

```
i = 3
f = 3.9
print(int(f))
# >> 3 (the decimal part is dropped)
print(float(i))
# >> 3.0
print(str(int(f)))
# >> "3"
```

# Conclusion

That's it for the numeric data type in Python!

These few methods should give you a lot to work with.

See you next time 👋