In the first part of the file tutorial2.py of repository Tensorflow in my github, you have the commented version of the MINST tutorial for experts in Tensorflow. Tensorflow is an opensource API for several languages that act as frontend for a machine learning backend that is quite flexible. What I was surprised for is the result of this first small exercise, that is: you take the pixel of the MINST package for character recognition traning.
In a two days coding challenge over workers day holiday, I decided to play with maps as means to plot information. What I decided to are use are the widely available shapefiles and python matplotlib packages, using mainly pandas and numpy to analyse data. You can find everything in this git repository. First of all you can start familiarising with shapefiles by plotting the pure patches, as in function mP in mapPlot.