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Algorithmic Problem Solving with Python

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Algorithmic Problem Solving with PythonJohn B. SchneiderShira Lynn BroschatJess DahmenFebruary 22, 2019iiContents1 Computers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Problem Solving . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sessions and Comments.

behavior. Thus, rather than keeping track of a single binary digit, with computers we may be able to work with a stream of bits of arbitrary length. For each additional bit we use to represent a quantity, we double the number of possible unique values the quantity can have. One bit can represent only two “states” or values: 0 and 1. This may

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