Yes, you're right. It doesn't matter where my csv file will be, I can transfer it from remote server to my local machine. The main problem is that python, I guess, can't convert all the table to csv (even if only 2 columns are selected). In jupyter noteboook I've connected to remote SAS through SSH - it's OK. I download tablle with sasdata - it's OK. Then, I want to manipulate data but I can't do it when my data set in sas format, so I want to convert it to dataframe or save it as csv(doesn't matter which format it will be exactly because if it will be in dataframe than I can save it to csv and vice versa). The problem is that when I try to realize this step, python starts to think for a very long time and I have no result even after 8+ hours of processing something (I don't even know what python exactly do inside). So, maybe you had some problems with huge data sets before? Maybe I can save it partly, or just know on which step python starts to fail. Or it is impossible to do it only with python?
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