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Really depends on what you want to do and different area.
Generally,
1. In industry, always C/C++, it's like a definition, I got a bookedited by MichaelPage for QF. Most investment bank, financialconsultancy perfer C++. As to Maple, Mathematica, Minitab, Fortran, allthese belong to academia, it's useful when you publish paper, makepresentation, holding workshop.
2. Regarding statistical software, SAS and S-Plus are mostpopulars.Both academia and industry. Nor to say SAS, just S-Plus, isdeveloped by Insight, which is a big financial software provider. Youmay find why it's popular from this point. As to R, definetely no oneuse it in the industry...I am not sure about the academic.
3. The most important is to pick one up, which is particulay fit foryour research or work. Then it will become good one, and u will becomethe expert on that.
Very good example is that every year, our rearch center is holdinig aworkshop called Optimisation, on that workshop we introduce AMPL, whichis very good in stochastic programming and linear programming, some ofour presenter still perfer MPL, or SPInE.......
For more details you may visit my webpage @
http://mam3xs.blogspot.com
I am not sure if it could be open in China, or that you need to go t http://finmath.blogchina.com
hope they are useful
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