Vectorization refers to a programming paradigm where functions operate on whole arrays in one go.
I have two pandas dataframes one called 'orders' and another one called 'daily_prices'. daily_prices is as follows: AAPL …
python pandas numpy vectorizationI have this code for the cost in logistic regression, in matlab: function [J, grad] = costFunction(theta, X, y) m = …
matlab vectorization logistic-regressionIs there an analog for reduce for a pandas Series? For example, the analog for map is pd.Series.apply, …
python performance pandas vectorization reduceI have a matrix K of dimensions n x n. I want to create a new block diagonal matrix M …
matlab matrix vectorizationWhy, at the lowest level of the hardware performing operations and the general underlying operations involved (i.e.: things general …
performance language-agnostic vectorization simd low-levelI have a pandas dataframe with two columns, a date column and an int column, and I'd simply like to …
pandas vectorization timedeltaI have two 3-dimensional arrays, the first two dimensions of which represent matrices and the last one counts through a …
arrays matlab matrix vectorization matrix-multiplicationThe introductory links I found while searching: 6.59.14 Loop-Specific Pragmas 2.100 Pragma Loop_Optimize How to give hint to gcc about loop …
c++ optimization g++ vectorization loop-unrollingIt seems like the answer to this should be simple, but I am stumped. I have a matrix of Nx3 …
matlab distance norm euclidean-distance vectorizationAre for loops really "bad"? If not, in what situation(s) would they be better than using a more conventional "…
python pandas iteration vectorization list-comprehension