How is NumPy different from SciPy?
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We have so far seen them used together. But they have subtle differences:
SciPy encompasses most new features
NumPy does hold some linear algebra functions
SciPy holds more fully-featured versions of the linear algebra modules and other numerical algorithms
NumPy has compatibility as one of its essential goals; it attempts to retain all features supported by any of its predecessors
NumPy holds the array data type and some basic operations: indexing, sorting, reshaping, and more
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