Data Analysis with Python: Zero to Pandas-Lesson 2

-Writing Reusable Code Using Functions in Python()

There are better ways to be done and there are things need fixing
but i wanted to share my work with you. 

Exercise - Data Analysis for Vacation Planning

You're planning a leisure trip (vacation) and you need to decide which city you want to visit. You have shortlisted 4 cities, and identified the cost of the return flight, daily hotel cost and a weekly car rental cost (a car has to be rented for full weeks, even if you return the car before a week ends).

City	Return Flight ($)	Hotel per day ($)	Weekly Car Rental ($)
Paris	200	20	200
London	250	30	120
Dubai	370	15	80
Mumbai	450	10	70

Answer the following questions using the data above:

1. If you're planning a 1-week long trip, which city should you visit to spend the least amount of money?
2. How does the answer to the previous question change if you change the duration of the trip to 4 days, 10 days or 2 weeks?
3. If your total budget for the trip is $1000, which city should you visit to maximize the duration of your trip? Which city should you visit if you want to minimize the duration?
4. How does the answer to the previous question change if your budget is $600, $2000 or $1500?

Hint: To answer these questions, it will help to define a function cost_of_trip with relevant inputs like flight cost, hotel rate, car rental rate and duration of the trip. You may find the math.ceil function useful for calculating the total cost of car rental.