On Tue, Nov 3, 2015 at 12:15 AM, beliavsky--- via Python-list <python-list@python.org> wrote: > I think Python 2.x is still used more than Python 3.x in scientific > computing. The Python books I have in this area, such as "Python for Finance: > Analyze Big Financial Data" and "Python for Data Analysis", still use Python > 2.x . An aspiring computational scientist, data scientist, or financial quant > may still be better off learning Python 2.x but using print(x) rather than > print x and doing other things to future-proof his code. >
That doesn't mean that Python 3 *can't* be used. Far as I know, all the key libraries (numpy, pandas, statsmodels, scipy) are available for Python 3 as well. Recommending the use of Python 2 simply because all the books you have teach Python 2 is a purely circular argument. But yes. If you're going to use Py2, aim for the common subset. Good Py2 code is a lot more similar to good Py3 code than an enumeration of language-level differences would suggest. ChrisA -- https://mail.python.org/mailman/listinfo/python-list
