Scientific computing with NumPy

Powerful calculations with NumPy, SciPy and Matplotlib

Resources NumPy: www.numpy.org SciPy: www.scipy.org Matplotlib: www.matplotlib.org NumPy is the primary Python package for performing scientific computing. It has a powerful N-dimensional array object, tools for integrating C/C++ and Fortran code, linear algebra, Fourier transform, and random number capabilities, among other things. NumPy also supports broadcasting, which is a clever way for universal functions to deal in a meaningful way with inputs that do not have exactly the same form. Apart from its capabilities, the other advantage of NumPy is that it can be integrated into Python programs. In other words, you may get your data from a database, the output of another program, an external file or an HTML page and then process it using NumPy. This article will show you how to install NumPy, make calculations, plot data,…

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The Python Book (Digital) - 1 Issue, The Python Book 4th Edition

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