Depends really. Have you got prior coding experience? The semantics of certain languages are much easier to pick up if you've had prior experience, but it might seem impossible to someone who has minimal experience.
Assuming that you're no older than 15 or 16, I'm going to suggest Python. It's a simple, high-level language that's easier to understand than most languages. If you think you've got enough experience to quickly understand and pick up things, then I'd probably say R is a good language to start with. It's very well-suited for AI and tends to be a favourite for AI researchers.
Answer:
miles_gallon = float(input("Enter car's miles/gallon: "))
dollars_gallon = float(input("Enter gas dollars/gallon: "))
print("Gas cost for 20 miles is $", (20 / miles_gallon) * dollars_gallon)
print("Gas cost for 75 miles is $", (75 / miles_gallon) * dollars_gallon)
print("Gas cost for 500 miles is $", (500 / miles_gallon) * dollars_gallon)
Explanation:
*The code is in Python.
Ask the user to enter the car's miles/gallon and gas dollars/gallon
Calculate the gas cost for 20 miles, divide 20 by miles_gallon and multiply the result by dollars_gallon, then print it
Calculate the gas cost for 75 miles, divide 75 by miles_gallon and multiply the result by dollars_gallon, then print it
Calculate the gas cost for 500 miles, divide 500 by miles_gallon and multiply the result by dollars_gallon, then print it
Answer:
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Answer:
The answer to this question is option "d".
Explanation:
In this question, the answer is data mining. Because Data mining is a technique that finds a piece of new information in a lot of the data. In the data mining collecting information from data is hopefully both new and useful. Data mining help us to discover new patterns and relationship in data to help make better decisions. It is used everywhere like Television and radio, Banking, Retail, and business. That's why data mining is useful.
