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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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Hyperion: How to Learn as Alternative for Mainframe

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Oracle Hyperion is a reporting tool. Its applications are Capital management, Asset planning, Workforce planning and more.

#Hyperion Career for Mainframe programmers:
Photo Credit: Srini

Books to Read on Hyperion

The Oracle Hyperion Financial Reporting 11 covers all basics to learn financial reporting using Hyperion tool.

The popular contents are

  • Explore Grids and the Point of View
  • Create Functions and Formulas
  • Master Conditional Formatting and Conditional Suppression
  • Create Dynamic Books and Batches
  • Import Reporting Content into MS Office with Oracle Smart View

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