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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 Best Features and Development Model for Agile

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In Agile development model each sprint has phases of requirements, design, development and testing. In the development phase, development team concentrates on new features to be developed and unit testing around it. But it misses on the regression of existing working functionality. This leads to defect seepage from Development phase to Test phase. Consequence of it is late defect identification, reporting, fixing and re-verification of the defect. This defect cycle continues till it is fixed. Drawback of Agile The drawback of this approach is project teams put in extra effort of identifying defects and reporting. Late identification of defects also leads to risk of schedule slippage. Here in this article is a mechanism proposed to minimize defect leakage from development phase to testing phase in agile software development life cycle by moving the regressed automated scripts from testing phase to development phase. Related: Agile+Developer+Jobs The advantages of this approac
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What is the meaning of Agile

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Agile Vs Scrum Agile is a time boxed, iterative approach to software delivery that builds software incrementally from the start of the project, instead of trying to deliver it all at once near the end. It works by breaking projects down into little bits of user functionality called  user stories , prioritizing them, and then continuously delivering them in short two week cycles called  iterations . Agile scales like any other software delivery process. Not that well . Look - scaling is hard. There is no easy way to magically coordinate, communicate, and keep large groups of people all moving in the same direction towards the same cause. It's hard work. The one thing Agile does bring to the conversation, is instead of looking for ways to scale up your project, look for ways to scale things down.
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