Hi, This is to share my finding of using the Juila for Matlab users.
I have a few big size data in csv format to open from the Juila and it tooks at least 3 minutes to read. However, if I convert the file into Matlab format (.mat) and load the file with Matlab, it tooks only one minute. I searched the Julia and find the MAT package. https://github.com/simonster/MAT.jl Instead of the csv file, I open the file with Matlab format data using the MAT package and it took only *a few second* !!!!!! using MAT MN=@sprintf("MODEL_%02d.mat",2); # this code is to select the 2nd matlab file for me. #check the name of the variable name you saved in Matlab first file = matopen(MN); # you can type your file name directly from here like, "MODEL_02.mat" varnames = names(file); #I found "*MODEL*" was the name of the varnames close(file) # Now call the variable from Julia file = matopen(MN); MODEL=read(file, "*MODEL*"); # Enter the name of the varnames above at" " and assign variable name again!! close(file) # Now whether you open the righ file size(MODEL) It's fantastic and this prove Julia has something more than other languages but still Julia is lack of tutorials to cover. I suggest to share this kind of your findings for the progress of the Julia and for the convenience of the users. Thank you Julia. Jase
