HWs discussion --- https://learningtensorflow.com http://tflearn.org --- NetworkX use: aFirstStepWithNetworkX.py aFirstStepWithNetworkX_&_agents.py aFirstStepWithNetworkX_&_agents(turtles).py http://stackoverflow.com/questions/32019556/matplotlib-crashing-tkinter-application (if we use pyplot we need matplotlib.use("TkAgg") before importing piplot) betweennessWithNetworkX_&_agents.py betweennessWithNetworkX_&_agents_large.py playingWithAgents&Nodes.py deletingEdgesWithNx2.x.py The use of draw_networkx() instead of draw() as at http://networkx.lanl.gov/_modules/networkx/drawing/nx_pylab.html Look at http://networkx.github.io/documentation/latest/index.html https://networkx.github.io/documentation/stable/reference/algorithms/index.html --- From lesson 3: Continue in experiment with SLAPP/production with nodes/factories creation or deletion. A look to SLAPP/produce code --- Have a look to the NetworkX use in SLAPP Position of the agents => nodes, using the dictionary ‘pos’ of the graph of the network --- Memo: useful links from the Cmap of my course of Econophysics at http://terna.to.it/econophysics17/cmap/Econophysics_2016_17.html