Added some basic classes

.gitignore

+*.pyc

lib/BayesNet.py~

+import sys
+sys.path.append("../../lib/networkx-1.7-py2.7.egg")
+import networkx as nx
+
+class BayesNet(object):
+    graph = nx.Graph()
+
+    def __init__(self):
+        print "lol"

src/ExampleBayesNet.py

+from  core.BayesNet import *
+from  core.Node import *
+
+bn = BayesNet()
+n = Node()
+
+bn.add_node(n)
+bn.add_node("lol")

src/ExampleBayesNet.py~

+from core import BayesNet
+
+bn = BayesNet()

src/core/BayesNet.py

+import sys
+sys.path.append("../lib/networkx-1.7-py2.7.egg")
+import networkx as nx
+import Node.Node
+
+class BayesNet(object):
+    graph = nx.DiGraph()
+
+    def __init__(self):
+        print "lol"
+
+    
+    def add_node(self, node):
+        if isinstance(node, Node.Node):
+            self.graph.add_node(node)
+        else:
+            raise Exception("Can only add 'Node' and its subclasses as nodes into the BayesNet")
+    

src/core/BayesNet.py~

+import sys
+sys.path.append("../lib/networkx-1.7-py2.7.egg")
+import networkx as nx
+import Node
+
+class BayesNet(object):
+    graph = nx.Graph()
+
+    def __init__(self):
+        print "lol"
+
+    
+    def add_node(self, node):
+        if isinstance(node, Node.Node):
+            graph.add_node(node)
+        else:
+            raise Exception("Can only add 'Node' and its subclasses as nodes into the BayesNet")
+    

src/core/Node.py

+class Node(object):
+    name = "SomeNode"