Top-rated recipes tagged "information" Code RecipesYahoo Stock Information (Python) 2012-08-25T17:16:47-07:00Alexander James Wallar <p style="color: grey"> Python recipe 577989 by <a href="/recipes/users/4179768/">Alexander James Wallar</a> (<a href="/recipes/tags/computation/">computation</a>, <a href="/recipes/tags/corey_goldberg/">corey_goldberg</a>, <a href="/recipes/tags/finance/">finance</a>, <a href="/recipes/tags/information/">information</a>, <a href="/recipes/tags/python/">python</a>, <a href="/recipes/tags/realtime/">realtime</a>, <a href="/recipes/tags/stock/">stock</a>, <a href="/recipes/tags/yahoo/">yahoo</a>). Revision 3. </p> <p>This recipe is solely due to the programming of Corey Goldberg (<a href=""></a>). The only thing I did to it was make it into a class. I thought that by uploading it here that more people would come across it and more people could use it. It is really good. It gives you stock information.</p> DictSet - A specialized Python container datatype for managing collections of sets. (Python) 2011-05-18T21:18:54-07:00Roger Lew <p style="color: grey"> Python recipe 577702 by <a href="/recipes/users/4178017/">Roger Lew</a> (<a href="/recipes/tags/analysis/">analysis</a>, <a href="/recipes/tags/development/">development</a>, <a href="/recipes/tags/dictionary/">dictionary</a>, <a href="/recipes/tags/information/">information</a>, <a href="/recipes/tags/mathematics/">mathematics</a>, <a href="/recipes/tags/sets/">sets</a>). </p> <p>The basic Python container types (dict, list, set, and tuple) are extremely versatile and powerful. The collections module first implemented in Python 2.4 has shown that sub-classing these containers can yield elegant solutions to the right problem. In a similar vein this project is a dict subclass for elegantly handling collections of sets. In many aspects a DictSet is similiar to a defaultdict of sets except it generalizes many of the set operations to the dict.</p> <p>Put simply, DictSet is a dict of sets that behaves like a set.</p> <p>DictSet requires 0 non-standard dependencies and should work with Python 2.5 and up.</p>