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Rajan Kumar

Founder at HackersFriend April 20, 2020, 5:55 p.m. ⋅ 1929 views

Advanced python concepts the easy way ( Lambda , Map and Filter )

This is continuation to previous article on Using advanced Python concepts the easy way.

In this article I'll cover up:

  • Lambda
  • Map
  • and Filter


Lambda is simply a one-liner function. It can take some arguments and can have one experssion in it to execute. This comes very handy with map and other functions, where we need to execute a one liner experssions in for every element of list.

Syntax begins with a lambda keyword and arguments then expression.

lambda arguments : expression

Here is a simple lambda to calculate square of any number.

>>> Get_Sqr = lambda x: x * x
>>> Get_Sqr(9)

This is equivalent to a function declared normal way, like this:

def GetSquare(x):
    return x*x




Map is used to iterate over a list / sequence and apply lambda / function to every element. You can do the same with list comprehensions also.

map(function or lambda , sequence or list)

Let's use our previous lambda to print square of every number of a list.

Map will return an iteratanle object, so we need to wrap it a with they type we need. Here we will wrap it with list. 

arr = [1, 2, 3, 4, 5]
arr = list(map(lambda x : x*x, arr))
print (arr)
[1, 4, 9, 16, 25]



Filter will apply a lambda / function to all the elements of the given sequence and will return an iteratable object of all the elements for which lambda / function returned true.

filter(function or lambda, sequence or list)

Let's use filters to get all the odd numbers of a list.

arr = [1, 2, 3, 4, 5, 6]
arr = list(filter(lambda x : x%2 != 0, arr))
print (arr)
[1, 3, 5]


In upcoming article I'll talk about Iteration protocol and generators.


Header image credits:  Image by Brian Ego from Pixabay 

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