What is the difference between NumPy and SciPy?
Question
- Normally, NumPy is used to perform the most basic array manipulations like indexing, sorting, reshaping, basic elementary functions.
- 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.
- 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.
- 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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