Computer Science Circles Python Answers
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Theory of computation is the branch of computer science that concerns the fundamental limitations of computation. In particular, it explores whether it is possible to give a precise definition of what computation is, and whether any process that you can think of can be simulated on a computer. As it turns out, it's not: a computer can do some things, but not all of them. It can simulate you doing some things, but not all of them, and so on, and so on. The focus of this field is on the things that computers can't do and why they can't do them. It's called theory because it's all about what can't be done. It's called computation because it's all about the what can be done.
Statistics and probability are mathematical tools used to analyze data. Mathematical probability theory is the branch of probability theory that deals with sequences of events, and their likelihood of occurring. For example, it may be possible to calculate the odds of getting a certain card or roll of the dice. The theory of probability is concerned with these notions: independence, conditional probability, and probability distributions. These concepts are important to computer scientists, because programming languages are essentially sets of probabilities. Computer scientists often use probability theory to explain why certain things occur in their programs.
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One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc