<span>Hanging out with friends, watching your favorite TV show, and buying a pair of new shoes are all examples of rewards for doing well in school. As the result of doing well in studies, a person can hang out with friends, watch their own favorite TV show and can buy a new pair of shoes. Hence all these things are the rewards that are being generated for a good performance in school.</span>
In theory, you can of course use any language you like, but there are a few commonly used ones.
From your list it would be c++ or c#, because if you actually have the interest long term then those will be the languages used by the various "big"/well known/used engines.
I would suggest c#, because it can be used with the Unity engine, which has an enormous community with help resources especially to start out and learn to program or game development.
On the other hand I would also suggest JavaScript. It isn't used for any of the big title development, but for all the *.io games like slither and so on. When looking at such games you will quickly notice that they are generally much simpler (for example 2D not 3D), because game engines are just simpler in JavaScript. While this is obviously limiting it might help to get something simple actually working, instead of getting stuck in extra complexities and additional features until you lose your motivation.
The basic programming you learn is still the same, so after you have learned a language you can quickly pick up most others.
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Answer:
D is your answer because I'm an expert
Answer:
In a sentence: data is raw numbers, while information is organized data.
Explanation:
Data is a series of numbers or facts. A data set is a collection of data that are related (for examples all the students result in your last math exam). But it's not organized by itself... and rarely mean anything when looked at it in a raw manner.
To make sense of a data collection, you have to analyze it, calculate the mean or median of the data set for example... this is a treatment that has to be done to a data set to give it significance.. after such analysis, the result you have (mean, median, etc..) is a piece of information devired from the data.
