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Python map() and lambda() Use Cases and Examples

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 In Python, map() and lambda functions are often used together for functional programming. Here are some examples to illustrate how they work. Python map and lambda top use cases 1. Using map() with lambda The map() function applies a given function to all items in an iterable (like a list) and returns a map object (which can be converted to a list). Example: Doubling Numbers numbers = [ 1 , 2 , 3 , 4 , 5 ] doubled = list ( map ( lambda x: x * 2 , numbers)) print (doubled) # Output: [2, 4, 6, 8, 10] 2. Using map() to Convert Data Types Example: Converting Strings to Integers string_numbers = [ "1" , "2" , "3" , "4" , "5" ] integers = list ( map ( lambda x: int (x), string_numbers)) print (integers) # Output: [1, 2, 3, 4, 5] 3. Using map() with Multiple Iterables You can also use map() with more than one iterable. The lambda function can take multiple arguments. Example: Adding Two Lists Element-wise list1 = [ 1 , 2 , 3 ]
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How to Find Factorial in Python for Any Number

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I have explained how to find factorial for a given number in Python using my own script fact.fy.
A module is created as a script file, which contains function definitions that can be called in two ways:

  • From the interpreter
  • From another script file or from another function

python factorial logic

How to import a Script from Linux to Python Console

I have written a script fact.fy

# This program illustrates the designing/creation of a module

def factorial(n):
        "This module computes factorial"
        f=1;
        for i in range (1, n+1):
                  f=f*i;
        print(f)
        return 

In interpreter...
>>> import fact       ==> Import from Linux
>>>fact.factorial(5)
120

What is script reloading?

The Python interpreter imports a module only once in a session. 

If some modifications are performed in the script, then it must be reloaded (imported) again in the interpreter for future use.

A script is a reusable component and you can add n number of functions inside of it.

Directory function in Python.

In order to see the list of function names defined in a module, Python is provided with a built-in function called dir().

It displays the list of all the function definition names as follows:

>>>dir()

['__builtins__', '__cached__', '__doc__', '__file__', 
'__loader__','__name__', '__package__','__spec__',
'fib']

Another way if we give 'module' name in dir(), you will get a list of all functions inside of it.

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