When we focus on stereotypes we may <span>unconsciously look for information to support our generalizations .</span>
False- python is an example of a high level language. Other high levels are c++, PHP, and Java
Answer:
polynomial-bounded algorithms
Explanation:
There are two algorithm complexities and they are time and space complexities. They can be denoted with the big-O notation. The big-o notation for a time and space complexity gets the worst-case time and space respectively.
The time complexity gets the measure of the execution time of an algorithm. When the time function is a polynomial ( k^n + k^n-1 ...) then the algorithm is said to be a polynomial-bounded algorithm.
Answer:
c. Both a and b
Explanation:
In computing, processing information simply means performing a task. It means transforming data from one form to another.
In the real sense of it, it means, performing arithmetic or logical operations (by ALU) on binary data which could result in transmitting data from input devices to output devices. When a user launches the calculator application on his PC, and he tries to do some arithmetic (which is processed by the ALU) by entering numbers using his keyboard/mouse (input devices), he gets the result on the screen(output device). This scenario is a typical example of processing information.
<em>Hope this helps!</em>
Answer:
Please the code snippet below, the code was writen in Kotlin Language
Explanation:
const val inches:Int= 12 . //This is the const value
fun main(args: Array<String>) {
//this will ask the user for input
print("Enter a number")
//this will do the conversion
var valueInFeet= Integer.valueOf(readLine())*inches
print("The value in feet is $valueInFeet feet(s)")
}
