ShowMeDo Blog » Blog Archive » Making Python math 196* faster with shedskin

ShowMeDo Blog » Blog Archive » Making Python math 196* faster with shedskin: "I compared stock Python 2.5, Psyco and ShedSkin output on an artificial neural network problem. The goal was to quickly estimate how fast a C version might solve the problem without having to actually write C (thus saving hours, sweat and tears). ShedSkin converts Python code to C++ for compilation with g++.

Psyco speeds things up by a factor of 2.6, ShedSkin by a super-impressive 196 times."

SimPy Tutorials

Documentation: "SimPy Tutorials
bullet 'The Bank' tutorial - modeling queuing and service in a bank (html, PDF)
bullet 'The Bank 2' tutorial - modeling queuing and service in a bank, showing the use of the advanced synchronization constructs (html, PDF)
bullet Prof. Norman Matloff, 'Introduction to the SimPy Discrete-Event Simulation Package', University of California, Davis (an outstanding tutorial developed by a SimPy user and teacher)"

Homepage: Simpy

Home: "SimPy (= Simulation in Python) is an object-oriented, process-based discrete-event simulation language based on standard Python. It is released under the GNU Lesser GPL (LGPL), starting with version 1.5.1 (previous versions were released under GPL). It provides the modeler with components of a simulation model including processes, for active components like customers, messages, and vehicles, and resources, for passive components that form limited capacity congestion points like servers, checkout counters, and tunnels. It also provides monitor variables to aid in gathering statistics. Random variates are provided by the standard Python random module."

Daten visualisieren mit Google

"Googles letztjährige Erwerbung, das Statistik- und Visualisierungstool Gapminder, trägt erste Früchte: Mit Hilfe der Google Visualization API sollen wir nun alle zu wunderbaren Datenrepräsentationen befähigt werden."

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