What is the difference between NumPy and SciPy?

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  1. Normally, NumPy is used to perform the most basic array manipulations like indexing, sorting, reshaping, basic elementary functions.
  2. All mathematical code would reside in SciPy. Notwithstanding, one of NumPy’s significant objectives is that it is compatible, so NumPy attempts to hold all highlights.
  3. Thus NumPy contains some linear algebra functions, even though these more properly belong in SciPy. In any case, SciPy contains more fully-featured versions of the linear algebra modules, as well as many other numerical algorithms.
  4. If there is a case where we are performing higher-level mathematical functions, then using both Numpy and Scipy is a good idea.
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m_prth 55 years 0 Answers 715 views Member 0

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