Hi All I know this is not a Python forum, but I am appealing to my fellow SAS users for advise, as I think you will understand what I mean and what I am after. I am very new to Python, but a veteran SAS & SQL user. My company doesn't want to dish out the money to get me a SAS licence, hence I am tying to learn Python. However, I am finding the data processing part of it immensely frustrating. This process is just highlighting to me (ONCE AGAIN) how awesome SAS (and SQL) is.  Is there a way for me to do data processing in Python in a way which is similar to either SAS's data steps; or a SQL type query? For example, I have CSV files that I generate from out DB or BI Tool, and export to use in Python for regression or time series analysis. I need to import this CSV, format columns and dates, do date calculations, lag functions etc. Then I might need to join data sets together.  From here I need to do plots and then the statistical modelling itself - the plotting and modelling I can do in Python (though its not at the level I would like as I am used to in SAS).Is R perhaps a better tool to do this in? can I do my data processing in R, in Python and still use Python for the modelling? i know this is a very open-ended and subjective question... but I'd greatly appreciate some advice. ... View more