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2024
Jun 2		awarded	Notable Question
2023
Jan 23		awarded	Popular Question
2021
Mar 17		awarded	Popular Question
2020
Dec 2		awarded	Notable Question
Apr 22		awarded	Curious
Jan 16		accepted	Element-wise multiplication between all the elements of a vector
Jan 16		asked	Element-wise multiplication between all the elements of a vector
2019
Feb 7		accepted	Create a new large matrix by stacking in its diagonal K matrices
Feb 7		comment	Create a new large matrix by stacking in its diagonal K matrices @jdehesa please see my update
Feb 7		revised	Create a new large matrix by stacking in its diagonal K matrices added 539 characters in body
Feb 7		asked	Create a new large matrix by stacking in its diagonal K matrices
2018
Dec 20		awarded	Supporter
Dec 20		accepted	Retrieve files from only the third level of directory
Dec 20		asked	Retrieve files from only the third level of directory
Dec 18		revised	Get pixel locations of the joints in the depth and in the RGB images edited tags
Dec 18		asked	Get pixel locations of the joints in the depth and in the RGB images
Oct 29		awarded	Tumbleweed
Oct 29		comment	Pythonic efficient way to compute the mean of two successives arrays and add the resulted array between them np.mean([1,2,3],[4,5,6]) this what l mean @ZisIsNotZis
Oct 28		comment	Pythonic efficient way to compute the mean of two successives arrays and add the resulted array between them @JohnZwinck, l can't make them into a single multidimensional array because each my_data[i] is a data example which is different from my_data[j] where i !=j. So the process l defined for computing the means of two successive arrays concern each my_data[i] , but can't for example compute the mean of the last array of my_data[i] and the first array of my_data[i+1]. Hope it's clear.
Oct 28		comment	Pythonic efficient way to compute the mean of two successives arrays and add the resulted array between them for instace my_data[0]=[ [0.45,0.12,...,017 ],[0,0.13,...,0.78 ],...,[0.23, 0.17,...,0.98] ]