Numeric Functions¶

Let us understand some of the common numeric functions we use with Python as programming language.

We have functions even for standard operators such as +, -, *, / under a library called as operator. However, we use operators more often than functions.
- add for +
- sub for -
- mul for *
- truediv for /
We can use pow for getting power value.
We also have math library for some advanced mathematical operations.
Also, we have functions such as min, max to get minimum and maximum of the numbers passed.

4 + 5

5 % 4

import operator
from operator import add, sub, mul, truediv

add?

Docstring: add(a, b) -- Same as a + b.
Type:      builtin_function_or_method

add(4, 5)

truediv(4, 5)

0.8

from operator import mod

mod(5, 4)

pow(2, 3) # This is also available under math library

pow?

Signature: pow(x, y, z=None, /)
Docstring:
Equivalent to x**y (with two arguments) or x**y % z (with three arguments)

Some types, such as ints, are able to use a more efficient algorithm when
invoked using the three argument form.
Type:      builtin_function_or_method

import math

math.pow?

Docstring:
pow(x, y)

Return x**y (x to the power of y).
Type:      builtin_function_or_method

math.ceil(4.4)

math.floor(4.7)

round(4.4)

round(4.7)

round(4.662, 2)

4.66

math.sqrt(2)

1.4142135623730951

math.pow(2, 3)

8.0

min?

Docstring:
min(iterable, *[, default=obj, key=func]) -> value
min(arg1, arg2, *args, *[, key=func]) -> value

With a single iterable argument, return its smallest item. The
default keyword-only argument specifies an object to return if
the provided iterable is empty.
With two or more arguments, return the smallest argument.
Type:      builtin_function_or_method

min(2, 3)

max(2, 3, 5, 1)

Mastering Python

Numeric Functions¶