I am looking for someone with python / statistical / and financial / trading experience to teach me analysis / back testing on an ongoing basis. I have gone about as far as i can go on my own and want to speed things up.
I am also looking at that learning path. Tell me if you find a good learning resource or something that organizes that body of knowledge. It seems R is the easiest language for statistical programming, but Python just gives you more flexibility. In the meantime, you may want to investigate: https://www.quantopian.com/ Good Luck.
If you are interested in Python take a look at 'Computational Investing Part 1' which uses Python, numpy, and pandas a lot to build a portfolio. A lot of good content, Python source code examples, and discussions. I believe you can still see the lectures and discussions even if the class is over. https://class.coursera.org/compinvesting1-003 Good luck,
depends what you mean by $ I use python a lot and have written some stuff for free here and there Depending on what you want to know I could write something up but you get what you pay for.
That class is an excelent starting point. You may want to take a closer look at pandas afterwards, since it is the bread and butter for any type of statistical analysis on python. There are a few libraries that are good for backtesting, like zipline (which also has the added advantage of allowing you to integrate with quantopian quite easily)