Answer:
Task manager
Explanation:
Allows you to force quit applications.
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 .
The answer is Clean Verbatim. In Clean Verbatim, the transcription does not include speech errors, false starts, and various filler words. It removes all of the so-called ‘extras’ that you may hear in an audio or video recording – “umms,” “likes,” “you knows” and other filler words, as well as stuttering. Clean Verbatim is ideal for business and marketing transcription purposes.
Answer:
hold down left click and drag or double/triple click the text
Explanation:
both software coding and testing occurs during Engineering phase
