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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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Cloud Computing - Career Options

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There is an explosion in both the use of cloud computing and the demand for people to assist in the mass migration to cloud. Indeed, there are about 50 to 70 jobs chasing truly qualified candidates at this point in time, according to technical recruiters.
Photo Credit: Srini

Roles in cloud computing

  1. IT pros with specific cloud skills
  2. IT pros with admin skills
  3. Cloud solution architect

Skill set

  • Expertise in Amazon web services
  • Development skills in Google App engine

Leading skill set

  • AWS-amazon web services
  • Microsoft Cloud
  • Rackspace cloud

Typical Cloud Computing certification programs

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