Monthly Archives: January 2014

Animation of Thomas Shelling’s Segregation model

Programmed in Python, NumPy, SciPy and Prof. John Zelle’s Graphics Library Advertisements

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Graphics programming with Python

For reasons unknown to me, probably psychological, I’ve always hated graphics programming…. Never touched it, if I could avoid it…  Over the past 40 years that I’ve been programming,professionally as well as privately,  most of the time making ‘the pedal … Continue reading

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Schelling’s segration model: evolution

The image above shows the evolution, per iteration, for a run of the Schelling simulation. The upper left grid shows the initial condition, which is a randomly arranged state. The seven remaining grids show the state of the board after … Continue reading

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There’s a bug in my program: The enormous difference between < and <=

I’ve found a bug in my program! A bug, in my program…! And I’m a pro hacker, how shameful…! 🙂 Scary, isn’t it… a simple bug, a single character among the thousands of characters in my program… that single character … Continue reading

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Segregation – technical details

Just a few details to the more technically inclined readers of this blog: The image below has three sections: the leftmost showing the results in terms of where the agents prefer to be, the middle image showing a heatmap over … Continue reading

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Segration demo by computational agent simulation

For the fun of it, (and to learn more about Numpy’s multidimensional arrays) I decided to repeat Thomas Shelling’s famous experiment which demonstrates that segregation based on any real or imagined divider, such as gender, income, language,age, ethnicity, race, social status, … Continue reading

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Tellus in next 100 years. Animation

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How the Friendship Paradox Makes Your Friends Better Than You Are | MIT Technology Review

How the Friendship Paradox Makes Your Friends Better Than You Are | MIT Technology Review.

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Six Things We Learned About Our Changing Climate in 2013 | Science | Smithsonian

Six Things We Learned About Our Changing Climate in 2013 | Science | Smithsonian.

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Python – plotting with different scales

Ever wondered whether the data set you are dealing with is governed by a power law, or by some other distribution…? A quick and easy way to assess whether your data conforms to a power law is to plot the … Continue reading

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