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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 How to Create Function

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In Python, you can define and call the function. Once done, you can call it later from the other program. I have shared the structure of it. And, I have added the three rules of it; useful for interviews. Structure of Function Structure of Function Rules to Create a Function A function definition is executable. The body will have the code to perform the task you wish. You can assign default parameter values. 1. Key Elements. You will find here three key elements of the Python function. Here you can read the parameter vs argument differences . Name of a function. It can be any valid identifier. It should be meaningful, and it should convey the work it will do. Parameter. These should be separated with command and should be in the parentheses following the name of the function. The parameters are input to function. It can have any parameters. Body of the function. The function body can contain code that implements the task to be performed by it. 2. Sample Function. Python Example. def
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