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<h3>Python Anonymous Functions</h3>
<hr>
<h4>What Are Anonymous Functions ?</h4>
<p>An anonymous function can be defined as function that is which is without a name that means the function name is empty. <br>While normal functions are defined using the def keyword, we define anonymous functions using the lambda keyword. <br>Hence, anonymous functions are also called lambda functions <br>
<b> Syntax:</b>
<pre><code>
lambda [arg1,arg2,..]:[expression]
</code></pre>
lambda is a keyword/operator and can have any number of arguments. <br>
But it can have only one expression. <br>
Python evaluates the expression and returns the result automatically.
</p>
<hr>
<h4>What is an Expressions?</h4>
<p>
An expression here is anything that can return some value. <br>
The following items qualify as expressions. <br>
Arithmetic operations like a+b and a**b <br>
Function calls like sum(a,b) <br>
A print statement like print(“Hello”) <br> </p>
<hr>
<h4>So what can be written in lambda expressions?</h4>
<p>
Assignment statements cannot be used in lambda , because they don’t return anything, not even None (null). <br>Simple things such as mathematical operations, string operations etc. are OK in a lambda.
<br>Function calls are expressions, so it’s OK to put a function call in a lambda, and to pass arguments to that function.
<br>Even functions that return None, like the print function in Python version3, can be used in a lambda.
<br>Single line if – else is also allowed as it also evaluates the condition and returns the result of true or false expression
</p>
<hr>
<h4>How to create lambda functions?</h4>
<p>Suppose, we want to make a function which will calculate sum of two numbers. <br>
In normal approach we will do as shown below: <br>
<pre><code>
def add(a,b):
return a+b
</code></pre>
In case of lambda function we will write it as:
<pre><code>
lambda a,b: a+b
</code></pre>
</p>
<hr>
<h4>Why to create lambda functions?</h4>
<p>A very common doubt is that when we can define our functions using def keyword , then why we require lambda functions ?
<br>The most common use for lambda functions is in code that requires a simple one-line function, where it would be an overkill to write a complete normal function.
<br>We will explore it in more detail when we will discuss two very important functions in Python called map( ) and filter( )
</p>
<hr>
<h4>How to use lambda functions?</h4>
<p>There are 2 ways to use a Lambda Function. <br>1. Using it anonymously in inline mode
<br>2. Using it by assigning it to a variable <br> <hr>
<b>Using it as anonymous function</b>
<pre><code>
print((lambda a,b: a+b)(2,3))
</code></pre>
<b>Output:</b>
<pre><code>
5
</code></pre>
<hr>
<b>Using it by assigning it to a variable</b>
<pre><code>
sum=lambda a,b: a+b
print(sum(2,3))
print(sum(5,9))
</code></pre>
<b>Output:</b>
<pre><code>
5
14
</code></pre>
<b>What is happening in this code ?</b> <br>
The statement lambda a,b:a+b , is creating a FUNCTION OBJECT and returning that object . The variable sum is referring to that object. Now when we write sum(2,3), it behaves like function call <br>
<b>Example:</b>
<pre><code>
import math
sqrt=lambda a: math.sqrt(a)
print(sqrt(25))
print(sqrt(10))
</code></pre>
<b>Output:</b>
<pre><code>
5.0
3.1622776601683795
</code></pre>
<b>Example:</b>
<b>lambda function that accepts 2 arguments and returns the greater amongst them</b>
<pre><code>
maxnum=lambda a,b: a if a>b else b
print("max amongst 10 and 20 :",maxnum(10,20))
print("max amongst 15 and 5 :",maxnum(15,5))
</code></pre>
<b>Output:</b>
<pre><code>
max amongst 10 and 20 : 20
max amongst 15 and 5 : 15
</code></pre>
</p>
<h4>What is Map Function?</h4>
<p>
<code>
map() </code>is a function which takes two arguments: <br>
<pre><code>
r = map(func, iterable)
</code></pre>
The first argument func is the name of a function and the second argument , iterable ,should be a sequence (e.g. a list , tuple ,string etc) or anything that can be used with for loop. <br>
<code>map()</code> applies the function func to all the elements of the sequence iterable
</p>
<p><b>Example: <br>Write a function called inspect( ) that accepts a string as argument and returns the word EVEN if the string is of even length and returns it’s first character if the string is of odd length. <br>Now call this function for first 3 month names
</b>
<pre><code>
def inspect(mystring):
if len(mystring)%2==0:
return "EVEN"
else:
return mystring[0]
months=["January","February","March"]
print(list(map(inspect,months)))
</code></pre>
<b>Output:</b>
<pre><code>
['J', 'EVEN', 'M']
</code></pre>
</p>
<hr>
<h4>The filter() function</h4>
<p>
Like map( ) , filter( ) is also a function that is very commonly used in Python . <br>
The function filter ( ) takes 2 arguments:<pre><code>
filter(function, sequence)
</code></pre>
The first argument should be a function which must return a boolean value <br>
The second argument should be a sequence of items. <br>
Now the function filter( ) applies the function passed as argument to every item of the sequence passed as second argument. <br>
If the function returned True for that item , filter( ) returns that item as part of it’s return value otherwise the item is not returned <br>
<b>Example:</b>
<pre><code>
def f1(num):
return num*num
mynums=[1,2,3,4,5]
print(list(filter(f1,mynums)))
</code></pre>
<b>Output:</b>
<pre><code>
[1,2,3,4,5]
</code></pre>
Ideally , the function passed to filter( ) should return a boolean value. But if it doesn’t return boolean value , then whatever value it returns Python converts it to boolean . In our case for each value in mynums the return value will be it’s square which is a non-zero value and thus assumed to be True. So all the elements are returned by filter()
</p>
<hr>
<h4>Using Lambda Expression With map( ) And filter( )</h4>
<p>The best use of Lambda Expression is to use it with map( ) and filter( ) functions <br>Recall that the keyword lambda creates an anonymous function and returns it’s address. <br>So , we can pass this lambda expression as first argument to map( ) and filter() functions , since their first argument is the a function object reference <br>
In this way , we wouldn’t be required to specially create a separate function using the keyword def
<b>Example: <br>
Write a lambda expression that accepts a string as argument and returns it’s first character <br>Now use this lambda expression in map( ) function
to work on for first 3 month names
</b>
<pre><code>
months=["January","February","March"]
print(list(map(lambda mystring: mystring[0],months)))
</code></pre>
<b>Output:</b>
<pre><code>
['J', 'F', 'M']
</code></pre>
</p>
<hr>
<h4>Using Lambdas With filter( )</h4>
<b>Example: <br>
Write a lambda expression that accepts a character as argument and returns True if it is a vowel otherwise False <br>Now ask the user to input his/her name and display
only the vowels in the name . In case the name does
not contain any vowel display the message No vowels
in your name
<pre><code>
name=input("Enter your name:")
vowels=list(filter(lambda ch: ch in "aeiou" ,name))
if len(vowels)==0:
print("No vowels in your name")
else:
print("Vowels in your name are:",vowels)
</code></pre>
<b>Output:</b>
<pre><code>
Enter your name: Chitranshi
Vowels in your name are: ['i', 'a', 'i']
</code></pre>
</b>
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