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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 ]

How Does DevOps Speeds up Delivery

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The DevOps is basically a Software development system and most popular in Cloud computing. On-device software and storage may not be pass just yet, but it’s getting there, as more and more computing processes are taking place in the cloud. How Does DevOps Speeds up Delivery Many companies are also preferring distributed computing, which allows multiple computers to network with one another to solve a task (and, unlike the cloud, gives companies control over the actual hardware involved). Many of the skills involved with cloud computing and distributed computing are related, so the two are often grouped together: Skills to learn include SQL for database management, programming languages like Ruby, JavaScript, and Python for building cloud-based applications, and DevOps (a software development system popular in the cloud computing field). Specific in-demand programs include Microsoft Azure and Amazon Web Services. Also Read: 2017 Fast Growing IT Skills For instance, Agile, Scrum, C