The first-time vehicle purchasing program was a group effort project between three other team members and me. The goal of the project was to create a presentation program that would be used for educating a select age group of students between the ages of 16 and 21 on the decision process of behind the purchasing of their first car. The project consisted of four different Jupyter notebooks with python programming that were used to gather and process different data sets from multiple sources and API's. The gather of information was for the purposes of determine the most popularly sold cars under $15,000 and then gathering the safety rating of those vehicles. Once the cars make and models were combined with the corresponding safety rating then the given price point for the vehicle was give a cost profile that varied by the state that the vehicle was owned in to cover the overall cost of the vehicle to include the price, financing costs, taxes, average regular maintenance as well as other miscellaneous expenses that might be incurred with ownership. The last factor that was presented was the depreciation of the value of the vehicle based on historical sales prices to show the resale value of the vehicle over time. With all this information being gathered each information data point was given a points value and then the overall score was given to give the top five best cars for first time car buyers.