Answer:
grid computing
Explanation:
Based on the information provided within the question it can be said that this technology is typically known as grid computing. Like mentioned in the question, this is a type of processor architecture in which various computer resources are combines from different domains in order to work together towards a common main objective. Which is exactly what SETI has done by using many individual's computers to essentially create one supercomputer capable of handling all the data.
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.
Answer:
The answer is a phablet.
Explanation:
A phablet is a class of smartphones with an intermediate size between a smartphone and a tablet. If the customer follows the recommendation, then he could still use this device for phone calls and work and not struggle anymore with the small print of the typical smartphone.
Answer:
The oldest malware vector was emails.
Explanation:
Websites were not widespread early on into the internet, however it was very easy to have a virus that uses an email contact list, where it can send itself to other email addresses and spread.