I have read through various posts here on the pros/cons of a wide array of Python environments. That being said, I am even more confused than prior to engaging in this due diligence.
My application is algorithmic trading, backtesting and analytical tool development and so I know I want the following functionality:
-numpy
-scipy
-Matplotlib
-spyder IDE
It seems like the installation of spyder on macos is non-trivial based on comments posted by users here http://code.google.com/p/spyderlib/wiki/Installation and so before I go down a rabbit hole I was wondering if someone could better guide me on the process and pre-requisites.
I came across the following post on stackoverflow, which seemed to indicate that I could just install the EPD-7.1 distribution and then install spyder separately but I'm not sure if the EPD distribution comes with all of the pre-requisites necessary for spyder.
Python distributions and environments for scientific computing
The following seems to be a guide on how to install spyder on macos but I'm not sure if this is current and whether installation of EPD makes some of the steps unnecessary.
http://works13.com/blog/mac/howto-install-spyder-1-x-on-mac-os-x-with-64bit-python.htm
Lastly, if I were to install EPD - is it better to go with 32-bit or 64-bit.
Thank you very much for your guidance.