# Introduction

This is a short primer on python decorators. I will show 2 examples and walk you through it.

# What are decorators?

As the name suggests, a decorator is a special type of function that decorates another function. Here, Decoration may mean extending functionality (or) preprocessing before passing it to the subject function. Using decorates is a nice abstraction that can be reused as needed.

## Example 1

def upperalpha(func):
def inner(s):
s = s.upper()
return func(s)
return inner

@upperalpha
def proc(s):
return s

print(proc("Hello World!"))


The above code contains two functions, upperalpha and proc. Our aim is to decorate proc with upperalpha.

we start by defining upperalpha which takes a function(func). we then define an inner function (inner). Note that inner takes the same argument as proc. inner contains the statements to decorate the function. .upper() is called on the string and passed on to func(which simply returns whatever it received). Finally, inner function is returned.

in python, function(s) can be decorated using @DEC syntax where DEC is the name of the decorator.

we finally run the proc with Hello World. the output will in capital letter because our decorator calls .upper() on our input.

# Example 2

def init_mul(func):
def inner(n):
n = n * 100
return func(n)

return inner

@init_mul
def proc(n):
return n+1

print(proc(1))


Let’s assume we want to multiply the input by a number before passing on to the function, while you can do this directly on a single function it’s not ideal to keep repeating n += n*100 everywhere. This is where init_mul decorator comes in handy, just decorate the required function with @init_mul and it will take care of the multiplication requirement.

Output:

I received 100
101


1 get’s multiplied by 100 in the decorator and the original function is called on modified n value.