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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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Top Tips You Need to Create Mobile Apps

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Before you start creating mobile applications, you need to understand two things. There are two mobile application types. Namely Native and Web applications.
Mobile applications are two types.Those are Native and Web applications. 
Mobile applications
Photo Credit: Srini

Native applications

  • Each mobile operating system you need to create one version. Native applications are platform dependent. The disadvantage is you need to create multiple versions.
  • Develop apps only on that platform
  • These apps not portable

Web applications

  1. The web applications are platform independent. They work for all mobile operating systems. These applications are browsable using any popular browsers.
  2. These apps are browsable from any popular web browsers

4 Top Mobile Platforms

  1. iOS 
  2. Android 
  3. Windows Phone 7 
  4. Blackberry OS 

4 Top Tablet Platforms

  1. iOS 
  2. Android 
  3. Blackberry OS 
  4. Windows 8

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