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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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5 top data warehousing questions to read before interview

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Hey, welcome to data analytics. Here I have given a few questions and answers. The below five questions helps you to understand very basics on data analytics. These are very basic questions. But, for laymen, they can understand easily and also good for interviews.
Interview questions
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Questions on Business Intelligence

  1. What is Business Intelligence? 
    • It is a well-established process in the business world whereby decision makers integrate strategic thinking with IT 
  2. What is Web Analytics? 
    • It is the collection, analysis, and reporting of Web site usage by visitors and customers of a website in order to better understand the effectiveness of online initiatives and other changes to the website in an objective, the scientific way through experimentation, testing, and measurement. 
  3. What is academic analytics? 
    • This is the area analytics applied in academia 
  4. What is action analytics? 
    • This is the area of analytics to produce actionable intelligence 
  5. What is the process of data analytics? 
    • The process involves Data, Information, Knowledge, and Wisdom

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