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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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Python: Do While Loop Real Examples

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While it is one of the loops in Python. The specialty is it never be false. You already know that in my previous post I have shared For Loop in Python. The for loop can be false.



Python: Do While Loop Real Examples

I am giving here one best example:

       
print("Help! My computer doesn't work!")
while True:
print("Does the computer make any sounds (fans, etc.)")
choice = input(" or show any lights? (y/n):")

In the above logic, while is always true. When in input user can give 'Y/N'.

 
       
if choice == 'n': # The computer does not have power
    print (" Do not show lights")
if choice == 'y': # It is power plugged in
   print ("show lights")
So, while is always true. Based on input the while loop works. Python is having the below list of Keywords.
Pythons Reserved Words

 The Python reserved words are: and, exec, not, assert, finally, or, break, for, pass, class, form, print, continue, global, raise, def, if, return, del, import, try, elif, in, while, else, is, with, except, lambda, and yield.


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