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Change matrix creations links for NumPy
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09 Numeric Arrays and Data Visualization/1 NumPy: numeric arrays and calculations.md

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Operations performed at once on entire matrices have many advantages. The program code is simpler and shorter, making it less error-prone. In addition, we do not have to worry about the specific implementation of a given operation: it is done for us by NumPy, which is specially optimized to make it work as quickly as possible.
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Check some other methods of creating arrays: [linspace](http://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html), [zeros](http://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros.html), [ones](http://docs.scipy.org/doc/numpy/reference/generated/numpy.ones.html), [mgrid](http://docs.scipy.org/doc/numpy/reference/generated/numpy.mgrid.html), [ogrid](http://docs.scipy.org/doc/numpy/reference/generated/numpy.ogrid.html), [r_](http://docs.scipy.org/doc/numpy/reference/generated/numpy.r_.html).
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Check some other methods of creating arrays: [linspace](http://docs.scipy.org/doc/numpy/reference/generated/numpy.linspace.html), [zeros](http://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros.html), [ones](http://docs.scipy.org/doc/numpy/reference/generated/numpy.ones.html), [eye](http://docs.scipy.org/doc/numpy/reference/generated/numpy.eye.html), [meshgrid](http://docs.scipy.org/doc/numpy/reference/generated/numpy.meshgrid.html).
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## Array shape

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