Creating your own functions

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We can combine operations to evaluate complex equations. Consider the value of the equation \(x^3 - \log(x)\) for the value \(x=4.1\).

import numpy as np
x = 3
print x**3 - np.log(x)
25.9013877113

It would be tedious to type this out each time. Next, we learn how to express this equation as a new function, which we can call with different values.

import numpy as np
def f(x):
    return x**3 - np.log(x)

print f(3)
print f(5.1)
25.9013877113
131.02175946

It may not seem like we did much there, but this is the foundation for solving equations in the future. Before we get to solving equations, we have a few more details to consider. Next, we consider evaluating functions on arrays of values.

Copyright (C) 2013 by John Kitchin. See the License for information about copying.

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