Why We Use Numpy Library In Python
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Why We Use Numpy Library In Python
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Vectorization describes the absence of any explicit looping indexing etc in the code these things are taking place of course just behind the scenes in optimized pre compiled C code Vectorized code has many advantages among which are vectorized code is more concise and easier to read fewer lines of code generally means fewer bugs Another reason is that numpy arrays and arithmetic operations are vectorized which means they lack explicit looping or array indexing in the code This syntax makes the code not only more readable but also more similar to standard mathematical notation

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