Blog Archives

How to make beautiful data visualizations in Python with matplotlib

Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue.

Posted in data visualization, ipython, python, tutorial Tagged with: , , , ,

Visualizing evolution in action: Dynamic fitness landscapes

Fitness landscapes were invented by Sewall Wright in 1932. They map fitness, or reproductive success, of individual organisms as a function of genotype or phenotype. Organisms with higher fitness have a higher chance of reproducing, and populations therefore tend to

Posted in data visualization, research Tagged with: , , , ,

Visualizing evolution in action: Density-dependence and sympatric speciation

Fitness landscapes were invented by Sewall Wright in 1932. They map fitness, or reproductive success, of individual organisms as a function of genotype or phenotype. Organisms with higher fitness have a higher chance of reproducing, and populations therefore tend to

Posted in data visualization, research Tagged with: , , , , , ,

Visualizing evolution in action: Survival of the flattest

Fitness landscapes were invented by Sewall Wright in 1932. They map fitness, or reproductive success, of individual organisms as a function of genotype or phenotype. Organisms with higher fitness have a higher chance of reproducing, and populations therefore tend to

Posted in data visualization, research Tagged with: , , , ,

Movies aren’t actually much longer than they used to be

Every year, I hear the same complaint about movies on the big screen: Movies are getting so damn long! We’re almost to the point that moviegoers should start demanding an intermission for some of these behemoths of film. But then

Posted in data visualization Tagged with: , , , ,

About this blog

This blog is my labor of love, and I've spent hundreds of hours working on the projects that you'll read about here. Generally, I write about data visualization and machine learning, and sometimes explore out-of-the-box projects at the intersection of the two. I hope you enjoy my projects as much as I have.

If you would like to use one of my graphs on your website or in a publication, please feel free to do so with appropriate attribution, but I would appreciate it if you email me first to let me know.

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