I’ve been invited to review the new NumPy book.
NumPy (from Numerical Python) is an open source Python library for scientific
computing. NumPy lets you work with arrays and matrices in a natural way.
I blogged about NumPy and SciPy for IronPython / #.Net. These libraries have be been optimized and provided custom .Net interfaces. This means that the full functionality is available to all .Net languages.
That means PowerShell, so I’m interested.
NumPy contains a long list of useful mathematical functions including some for linear algebra,
Fourier transformation, and random number generation routines. NumPy allows rapid interactive prototyping.
Here is a sample chapter from the book. Python has been around since the early 90’s and their open source libraries are very mature and can shortcut plenty of work. That coupled with IronPython for .Net means a potentially seamless integration with PowerShell. NymPy is used by scientists, engineers, quantitative data analysts and more.
I am looking forward to learning more about how to use it and where it is applied.
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