I would honestly say that there are a few available tools that Carrie can use, but the best tool is the inbuilt Windows Powershell. As Powershell continues to extend its purpose and usefulness, Microsoft, on the other hand, continues to use Powershell's capability to develop more cmdlets for products like Windows Servers. Everything that can be done in a GUI environment can be done in Powershell. Carrie should be able to use Powershell to run things more efficiently from the command line without stepping a foot on the physical server. She will only need to access the server from her desk remotely, run a few commands, and that is it. Powershell command line is so powerful; it carries with it every troubleshooting pack that you can think about.
Answer:
(A) IF (IsFound
(afternoonList, child))
{
APPEND (lunchList, child)
}
Hope this helps!
No. The attributes of the table correspond to columns within the table. Each unique set of attribute values taken together correspond to table rows. Sometimes referred to as "records".
Hi! I'm a Digital Marketer Intern at hotels.ng and I have a moderate knowledge on programming.
First, your question is not very explanatory. The term "view" is often used in back-end web development. A view is simply a Python function that takes a Web request and returns a Web response.
But I'm not sure this is what you want, so I'll just go ahead and write a python function involving class to return the total number of credits taken by a student.
I'll answer this question using Python.
class student(object):
credits = None
year = None
def num_credits(self):
#get credit value
self.credits = input("Enter the total number of credits: " )
pass
def getYear(self):
self.year = input("Enter current year: ")
pass
def tot_credits(self):
TotalCredits = tempTotalCredits + self.num_credits
print "Your total credits are :"+" "+str(TotalCredits)
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
