Answer:
#section 1
def maxTemp(filename):
import pathlib
f = pathlib.Path(filename)
f.exists()
if f.exists():
f = open(filename, "r")
#section 2
next(f)
res = [int(sub.split(',')[1]) for sub in f]
maxdata = (res[0])
for i in range(len(res)-1):
if maxdata < res[i]:
maxdata = res[i]
index = res.index(maxdata)
f.close()
#section 3
li = []
a = open(filename, "r")
for line in a:
line = line.strip()
li.append(line)
a.close()
return (li[index+1])
else:
return -1
print(maxTemp("new.csv"))
Explanation:
#section 1:
The function maxTemp is defined. We import pathlib in other to check if the file exists, if it does we carry on with opening the file and if it doesn't the program returns -1.
#section 2:
We start splitting the sub-lists from the second line i.e <em>next(f)</em>. For each line we take the second index element and convert it to an integer.
<em>res = [int(sub.split(',')[1]) for sub in f]
</em>
The maximum number is gotten by using the if statement to compare all elements in the list. The index of the maximum item in the list is collected.
the file is then closed.
#section 3 :
The file is re-opened and all the lines are striped and passed into a new list and the index recovered from section 2, is used to get the day with the highest temperature and the line is returned.
Answer:
There is no table, so I can only comment on the statements:
The binary value of decimal 10 is A. ==> False, however A is a hexadecimal representation of 10.
The binary value of decimal 13 is 1001 ==> False, 13 would be 1101.
The binary value of decimal 15 is 1111. ==> True.
The binary value of decimal 14 is E. ==> Again E is a hexadecimal representation of 14.
Answer:
By supplying a variety of charts and graphs to present the information in best way.
By tracking and analyzing the data
By conveying large amount of numerical data in more understandable format.
Explanation:
You need to know the limitations of Excel software. You will find that it does not support more than 3 variables while analyzing. However, if you use analytic software like Tableau and Microsoft Power BI then you can use a lot number of variables. And this is done through graphs and charts, and the other variables apart from x, y, z are the colors, shades. etc. Even color alone can add a good number of variables, and hence you can understand. Thus, you will be able to query better. Queries become better if you have more variables. And charts and graphs always present the information in the best way/ Also you can track and analyze the data. And through it conveying a large amount of numerical data in a more understandable format is made possible, and this is definitely quite helpful. Hence, all of the options mentioned above are helpful. But they do not do complex calculations and complex queries in fact.
Answer:
Firewalls, Antiviruses, Malware, Antispyware,
Explanation:
