Multiplication Table By 24 Months

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Multiplication Table By 24 Months

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Apr 10 2016 nbsp 0183 32 Comparing Python Numpy Numba and C for matrix multiplication Asked 9 years 2 months ago Modified 1 year 8 months ago Viewed 18k times Following normal matrix multiplication rules, an (n x 1) vector is expected, but I simply cannot find any information about how this is done in Python's Numpy module.

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Multiplication Table By 24 MonthsFeb 3, 2016  · Since I think you are new with Python, lets do the long way, iterate thru your list using for loop and multiply and append each element to a new list. using for loop lst = [5, 20 ,15] product = [] for i in lst: product.append(i*5) print product using list comprehension, this is also same as using for-loop but more 'pythonic' lst = [5, 20 ,15] prod = [i * 5 for i in lst] print prod Oct 14 2016 nbsp 0183 32 For ndarrays is elementwise multiplication Hadamard product while for numpy matrix objects it is wrapper for np dot source code As the accepted answer mentions np multiply always returns an elementwise multiplication

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