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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

By : Ivan Idris
2 (1)
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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

2 (1)
By: Ivan Idris

Overview of this book

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
Table of Contents (16 chapters)
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14
C. NumPy Functions' References
15
Index

Time for action – calculating the Gaussian integral

The Gaussian integral is related to the error() function (also known in mathematics as erf), but has no finite limits. It evaluates to the square root of pi.

Time for action – calculating the Gaussian integral

Let's calculate the integral with the quad() function (for the imports check the file in the code bundle):

print("Gaussian integral", np.sqrt(np.pi),integrate.quad(lambda x: np.exp(-x**2), -np.inf, np.inf))

The return value is the outcome and its error would be as follows:

Gaussian integral 1.77245385091 (1.7724538509055159, 1.4202636780944923e-08)

What just happened?

We calculated the Gaussian integral with the quad() function.

Have a go hero – experiment a bit more

Try out other integration functions from the same package. It should just be a matter of replacing one function call. We should get the same outcome, so you may also want to read the documentation to learn more.

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