Answer:
The last 2 point in the given question is the correct answer to the given question i.e
- an argument passed to the function in the correct positional order
- an argument wherein the number of arguments in the function call should match the definition of the function.
Explanation:
The required argument are those argument that are passing to the method the in the right location order.In the required argument the number of arguments in the call method must match the definition of the function .
For example
def fun( s ): #function definition
print(s) #display s
fun('er')#calling
In this example there is function fun() in which we pass the argument 'er' we call that function from main() .The control moves to the function definition it checks the number of argument in the calling function fun() is matched with the definition of function fun() and print 'er'.
All the other option are not describing the required argument that's why this is incorrect option .
I believe it’s problem solving.
Answer:
Micro controller or MCU (Microcontroller Unit)
Explanation:
Micro Controller Unit is basically a computer on a chip with all components fabricated onto it. It is the core component of a computer.
A Micro Controller has:
- Central Processing Unit CPU
- Random access memory RAM
- Read-only memory ROM
- I/O peripherals
- Timers
- Serial COM ports
all fabricated on a single chip so that it may be connected via buses for providing the desired functionality.
<h3>I hope it will help you!</h3>
Did you mean this?
<span>Controls are divided between two locations: (a) </span>Tools -> Options<span> -> Security -> Junk, and (b) Tools -> Account Settings -> *each account* -> Junk Settings.</span>
Data visualization
Data visualization is a good starting point for data mining. There are several approaches to data mining that supports smart decisions. Data visualization places data in a visual context. It extracts the data in a clear and understandable way without any form of reading or writing. Results are displayed in the form of pie charts, graphs, and any other statistical representation. Such multidimensional views of data aid in developing a preliminary understanding of the trends that are hidden in the data set.
