Answer:
The order of the efficiencies is as following:-
10,000 < 2n < nlog(n) < n5 < n!.
Explanation:
10,000 is constant time whatever will be the size of the problem the efficiency will remain the same.
2n this efficiency is linear it will grow proportionally as the size of the problem increases.
nlog(n) this efficiency is is a bit greater than 2n though it will grow faster than 2n but slower than n2 as the size of the problem increases.
n5 this efficiency is very poor.It is growing very rapidly as the size of the problem increases.
n! is the worst efficiency of them all.
n!=n*(n-1)*(n-2)*(n-3)*(n-4)*.......2*1.
It will grow beanstalk in jack and the beanstalk.
Answer:
a. True
Explanation:
The fractional_part function divides the numerator by the denominator, and in turn returns just the fractional part, which is usually a number between 0 and 1.
When the denominator is 0, it produces an error result, instead of attempting the division, the function can be programmed to return "Math Error: cannot be divided by zero", as shown in the following Python code;
def fractional_part(numerator, denominator):
if denominator == 0:
return "Math Error: cannot be divided by zero"
return (numerator % denominator)/denominator
Answer:
Sure!!! and thank you very much
Answer:
This is what we call SQL Injection.
• SQL Injection is when an attacker compromises your database only if it is vulnerable.
• Vulnerability includes leaving an empty ""(value) or forgetting to close anything that could be attacked.
• Ways to prevent injection is to not use string concatenation.
(<em>ex.</em> "hello" + "world")
* Use parameterized queries.
* Immediately get rid of any unused code.
Answer:
A mother board is something that helps a electronic run im guessing
Explanation:
