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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 ]

Smart Cities: 16 Top Job Roles You need to Know

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Why IOT skill you need: There are currently 18.2 billion connections to the internet throughout the world, and this will increase to 50 billion by 2020. The amount of data being transmitted via these connections has grown from 3ZB (3,000,000,000,000,000,000,000 bytes) in 2010 to 10ZB (10,000,000,000,000,000,000,000 bytes) this year, and it is predicted to reach 40ZB (40,000,000,000,000,000,000,000 bytes) by 2020. New Type of Skills Internet of everything has the potential to reach $19 trillion of value by 2022, and it "has the potential to grow global corporate profits by 21% in 2022".It's exponentially increasing. In a smart city, "every single sector has to get technology fluent and it has to get digital fluent to drive long-term prosperity,". This is an issue that both the public and private sectors need to get behind and to transform how they think and how to get people ready for the jobs to solve these problems. "We need new types of skills , ne