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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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4 Key features to know in Industrial IoT

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The Industrial Internet is somewhat similar to the Internet of Things (IoT), sometimes even referred to as the “Industrial Internet of Things”.
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The general idea behind the IoT

It is that many hi-tech and simple electronic devices would become interconnected with M2M (Machine-to-Machine) protocols, and therefore remotely controlled and relaying data to each other, without any manual input, or even equipped with ambient intelligence.

Role of Smart Phones

This idea is currently used in smart houses, and many seek wider applications. Its industrial counterpart can be viewed more from a resource and manufacturing perspective.

Robots

We can currently see such trends in mining, with automated trains, robotic hauling trucks, excavators, drills, and mineral processing plants, including remote fault, and malfunction control, calibration, and configuration for increased efficiency.

Automation

Despite the current and constant need for “on-site” human workers and operators, the trend is moving towards eliminating the human factor to the required minimum, thus a single central operation control room could remotely operate and supervise several operation sites. Human operators could also be issued with remote ATLAS-like humanoid substitutes if necessary.

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