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‎Python/Module3_IntroducingNumpy/VectorizedOperations.md

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@@ -287,7 +287,7 @@ The "modulo" function ("mod" for short), denoted by $\%$, is defined to return t
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**Using Math Operators on NumPy Arrays**:
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It is important to note that NumPy arrays know how to "override" the standard mathematical operators so that they also invoke vectorized functions. For example, suppose `arr1` and `arr2` are NumPy arrays; calling `arr1 + arr2` ends up calling `np.add(arr1, arr2)` "under the hood". Thus we can safely use the standard math operators `+ - / * **` between NumPy arrays, and fast vectorized functions will be used for us.
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It is important to note that NumPy arrays know how to "override" the standard mathematical operators so that they invoke vectorized functions. For example, suppose `arr1` and `arr2` are NumPy arrays; calling `arr1 + arr2` ends up calling `np.add(arr1, arr2)` "under the hood". Thus we can safely use the standard math operators `+ - / * **` between NumPy arrays, and fast vectorized functions will be used for us.
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</div>
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