Answer:
# the dog dataframe has been loaded as mpr
# select the dogs where Age is greater than 2
greater_than_2 = mpr [mpr. age > 2]
print(greater_than_2)
# select the dogs whose status is equal to 'still missing'
still_missing = mpr[mpr. status == 'Still Missing']
print(still_missing)
# select all dogs whose dog breed is not equal to Poodle
not_poodle = mpr [mpr.breed != 'Poodle']
print(not_poodle)
Explanation:
The pandas dataframe is a tabular data structure that holds data in rows and columns like a spreadsheet. It is used for statistical data analysis and visualization.
The three program statements above use python conditional statements and operators to retrieve rows matching a given value or condition.
(194°F-32)×5/9
= 90°C
therefore the answer is 90degrees Celcius
Answer:
Analyse performance
Explanation:
During the deployment of new services to a certain Platform such as the cloud which is geared towards enhancing scalability which is the ability of platforms to accommodate larger load level are serve an increased number of consumers. These will require these platforms to be Analysed as per performance in other to evaluate them . Through performance analysis, elasticity may need to be tweaked by dynamic rearrangement of the different modules, hardwares in other to ensure that the platform delivers at the required level to serve the increased number of consumers.
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The selection sort algorithm step started from 0, and continue till the sorting is done.
The correct answer after selection sort algorithm at the 4th step is:D
[0,1,2,4,8,10].
The complete detail of step by step execution is shown in the attached document file.
Answer:
Predict Demand
Explanation:
The type of Artificial Intelligence (Al) solution that would be suitable for solving this problem is "Predict Deman"
By predicting the demand of the potential consumer through the Artificial intelligence solution the retailer would be able to eliminate leftover out-of-stock scenarios because the adequate quantity of the products or demands will be provided thereby enhancing customers' experience arising from out-of-stock scenarios and reducing losses arising from the leftover.
