Python has the math module.
What Is Module?
A
module is a file that contains a collection of related functions.
Before we can use the functions in a module, we have to import it with an import statement:
> import math
This statement creates a module object named math. If you display the module object, you
get some information about it:
>math
<module 'math' (built-in)>
The module object contains the functions and variables defined in the module. To access
one of the functions, you have to specify the name of the module and the name of the
function, separated by a dot (also known as a period). This format is called dot notation.
>>> ratio = signal_power / noise_power
>>> decibels = 10 * math.log10(ratio)
>>> radians = 0.7
>>> height = math.sin(radians)
The first example uses math.log10 to compute a signal-to-noise ratio in decibels (assuming
that signal_power and noise_power are defined). The math module also provides log,
which computes logarithms base e.
The second example finds the sine of radians. The variable name radians is a hint that
sin and the other trigonometric functions (cos, tan, etc.) take arguments in radians. To
convert from degrees to radians, divide by 180 and multiply by p:
> degrees = 45
> radians = degrees / 180.0 * math.pi
> math.sin(radians)
0.707106781187
> math.sqrt(2) / 2.0
0.707106781187
What Is Module?
A
module is a file that contains a collection of related functions.
Before we can use the functions in a module, we have to import it with an import statement:
> import math
This statement creates a module object named math. If you display the module object, you
get some information about it:
>math
<module 'math' (built-in)>
The module object contains the functions and variables defined in the module. To access
one of the functions, you have to specify the name of the module and the name of the
function, separated by a dot (also known as a period). This format is called dot notation.
>>> ratio = signal_power / noise_power
>>> decibels = 10 * math.log10(ratio)
>>> radians = 0.7
>>> height = math.sin(radians)
The first example uses math.log10 to compute a signal-to-noise ratio in decibels (assuming
that signal_power and noise_power are defined). The math module also provides log,
which computes logarithms base e.
The second example finds the sine of radians. The variable name radians is a hint that
sin and the other trigonometric functions (cos, tan, etc.) take arguments in radians. To
convert from degrees to radians, divide by 180 and multiply by p:
> degrees = 45
> radians = degrees / 180.0 * math.pi
> math.sin(radians)
0.707106781187
> math.sqrt(2) / 2.0
0.707106781187
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