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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 ]

Mainframe study materials for interviews

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Mainframe self-study materials provided to refresh quickly before your next interview.   Top Links for Mainframe Self Study Materials - You Can Download Free of Cost VSAM 1.0 REXX 1.0 MVSQuest Second Edition MVSQuest Second Edition – Tools MQSeries 1.0 MAINFRAME Q&A Mainframe reference questions JCL 1.0 ISPF V 1.0 DB2 1.0 IMS 1.0 IDMS 1.0 COBOL 1.0 CICS V1.0 Abend codes in MF ALL interview questions References Mainframe-srini blogs