Python Resources

Setting up virtual environments on python simplify development.

Consider also virtualenvwrapper and autoenv ad ons.

http://docs.python-guide.org/en/latest/dev/virtualenvs/

An excellent collection of Python resources for quantitative development maintained by the folks at Quantsoftware — http://wiki.quantsoftware.org/index.php?title=Resources

Creating a RESTful service with Python and Flask

http://blog.miguelgrinberg.com/post/designing-a-restful-api-with-python-and-flask

Django tutorial

http://toys.jacobian.org/presentations/2007/pycon/tutorials/beginning/

Django on Google App Engine Part1 and Part2

http://django-appengine.com/

Complete guide to packaging up your Python code

http://infinitemonkeycorps.net/docs/pph/

Structuring large Flask application

http://mattupstate.com/python/2013/06/26/how-i-structure-my-flask-applications.html#s1a

Another wiki

https://github.com/mitsuhiko/flask/wiki/Large-app-how-to

Flask Bones appears to be an awesome collection

https://github.com/imwilsonxu/fbone

Awesome restructured text viewer

https://mg.pov.lt/restview/

Norm Matloff’s python tutorial, including his “quick and painless” python

http://heather.cs.ucdavis.edu/~matloff/python.html

http://heather.cs.ucdavis.edu/~matloff/Python/PLN/FastLanePython.pdf

 

A proposal for embedding R on the server side in Python. Example of a historical time series analysis on data (e.g., 60 day MA) with code in github

https://github.com/lsbardel/statplay/tree/master/examples/londonr1109/

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