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2 parents f747e74 + c4865b0 commit 87e0ab4Copy full SHA for 87e0ab4
source-code/numpy/README.md
@@ -27,6 +27,8 @@ algorithms for scientific computing (Lapack, statistics,...).
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numexpr module.
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1. `numpy.ipynb`: Jupyter notebook illustrating some numpy aspects like
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array slicing, adding dimension to arrays, and so on.
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+1. `structured_arrays.ipynb`: Jupyter notebook illustration creating of and
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+ working with structured numpy arrays.
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1. `optimization.py`: illustration of how to use the `scipy.optimize` for
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unconstrained multivariate optimization
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1. `target_function_plot.py`: script that creates a surface plot of the
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