Answer:
new_segment = [ ]
for segment in segments:
new_segment.append({'name': segment, 'average_spend': money})
print( new_segment)
Using list comprehension:
new_segment =[{'name': segment, 'average_spend': money} for segment in segments]
Using map():
def listing(a):
contain = {'name': segment, 'average_spend': money}
return contain
new_segment = [ ]
new_segment.append(map( listing, segment))
print(list(new_segment)
Explanation:
The python codes above create a list of dictionaries in all instances using for loop, for loop in list comprehension and the map function which collect two arguments .
Answer:
True
Explanation:
A Domain Name Service comprises of computer servers that carries a database of public IP addresses and their related human-readable domain names/hostnames, it receives query as hostnames and helps to translates those human-readable domain names/hostnames into IP addresses that computers and routers understand.
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The given options to this question are:
- resolution.
- magnification.
- orientation.
- colors.
The correct option to this question is 1. i.e.
Resolution.
The resolution of an image determines how many pixels per inch an image contains. Image having a higher resolution takes long page load times for a page and lower resolution takes less page load time. So, to prevent long page load times for pages containing images, it is best to use compressed file formation as well as appropriate image dimension and resolution.
While other options are not correct because:
Magnification, orientation, and color does not affect the page load time. Page load time for images only affected by the dimension and resolution of the images.
Answer:
Explanation:
Deployment is the method by which you integrate a machine learning model into an existing production environment to make practical business decisions based on data. It is one of the last stages in the machine learning life cycle and can be one of the most cumbersome.
