Monthly Archives: May 2009

Webinar recording available

Enthought’s first public webinar was a success, despite a few technical glitches. The large attendance in spite of the short notice was gratifying. Travis was able to cover only a fraction of the material he had hoped to cover, so there is plenty of material for future sessions (such as Chaco and Mayavi).

The recording of the webinar is now available for download. While the native recording format of GoToWebinar is Windows Media Player, we have converted it to Matroska format, so we hope that folks on all platforms will be able to view it. Please let us know if you have problems getting or playing it.

The next public webinar will be Friday, June 19 at 1:00 CDT. Specific topics TBD.

Meanwhile, we are launching a second webinar series, exclusively for subscribers to the Enthought Python Distribution at the Basic support level or higher. Those subscribers will receive an e-mail announcement shortly.

Python for Scientific Computing Webinar

We are trying something new at Enthought. I’m going to host the first Enthought Webinar on Scientific Computing. This webinar is free for people interested in showing up. You should plan to come with a bit of patience as we may not have all the wrinkles worked out of the technology and what it means for having a discussion.

I want to spread the word about all the very cool tools that the Open Source community has produced for using Python in Science. The first webinar will be on Friday at 3:00pm CDT. You can attend via your computer by registering at the following link: Python for Scientific Computing Webinar. I will be talking about NumPy, structured data-types, and memory mapped arrays (and how to use them for reading data quickly from files). I will also be showing off Chaco for 2-d interactive visualization and Mayavi for 3-d visualization. Come with questions as you will have the opportunity to ask them if you would like.

We will start 15 minutes early for people who want to get help setting up with the Webinar technology from GotoMeeting. If you have never attended a Webinar before, you may want to come and try it out. I look forward to seeing many of you online this Friday.

Enthought and Economic Science

A few of us at Enthought (Peter Wang, Robert Kern, and I) traveled to Toronto two weeks ago to attend a very interesting summit of scientists and others connected to finance and economics to discuss whether and how science can provide assistance in understanding economics sufficiently to prevent or at least mitigate economic breakdowns such as the one we’ve just experienced (and are still dealing with). The conference was titled The Economic Crisis and its Implications for the Science of Economics. Some background material for the conference can be read at Edge.org, and at least two blog-posts covering the conference can be read: one by Stephen Hsu and another by Barkley Rosser.

We were invited because Eric Weinstein is a fan of Python and the tools in the Enthought Python Distribution (including NumPy, SciPy, SymPy, MayaVI, and Chaco). Robert Kern produced some very nice visualizations for Eric’s talks in the conference using MayaVi and Chaco which can be seen in Eric Weinstein’s two talks: 30 minutes into the first one and 45 minutes and again 1:30 minutes into the second one (Actually, the second talk was Pia Malaney’s talk and Eric enthusiastically joined her half-way through — I guess being married has its advantages for getting more air time.)

The conference was intellectually stimulating and very enjoyable. I enjoyed all of the conversations I personally had with the participants which ranged from probability theory to cognitive neuroscience to quantum mechanics to computer platforms for agent-based modeling. I encourage you to read and listen in more depth to what the participants had to say in their talks because I won’t be able to provide sufficient summary to the conference. All of the conference talks are online. What isn’t shown in the videos, though, are the break-out discussions that took place between sessions and at meal-time.

In these break-out discussions I enjoyed getting to know all four members of the PartEcon team. Apparently, Mike Brown organized this group after an agent-based model (discussed at the conference by Alexander (Sasha) Outkin) predicted some useful results of changing the tick-size to decimals on the NASDAQ. They have incorporated principles of double-entry book-keeping into their agent-based model. They also stayed after the conference to continue comparing notes with another team from the Perimeter Institute that had written about an agent-based model using a more formal setup (by Samuel Vazquez and Simone Severini).

While there was one early talk on the first day by Richard Alexander that touched on the genetic component of human agents, the impact of having evolutionary biologists present (like him and one of his students, Bret Weinstein) was much larger than their presentation footprint. They provided insightful discussions during several break-out sessions (Peter Wang even commented that in another life he might have become a biologist).

Lee Smolin sent around a very nice summary of the conference and suggested a unifying theme of “path-dependence in economic dynamics.” Eric and Lee were both there to explain how gauge theory provides the tools to solve the problem of changing preferences that has plagued traditional academic economics. Eric did a great job of showing how this manifestly untrue concept of unchanging preferences has at least been put forward by several leading economists. It’s still unclear to me whether or not gauge theory actually provides new results, but it definitely seems like a more useful mathematical toolbox to use and build from.

I was disappointed that amidst all the discussion of the failure of economic modeling there was not at least some discussion about the Mises-Rothbardian ideas of fiat currency and fractional-reserve banking being the primary source of the booms and resulting busts. I wanted to learn from the people there rather than try and debate this one particular theory of economics so I pretty much stayed quiet. One gentleman sitting next to me during the first day asked the panel whether the crises shows the failure of fiat currency and and got a very unsatisfying answer from Nouriel Roubini that simply dismissed the question, but did not really address it.

Given that the economic experts have basically shown repeatedly they don’t know what they are doing, intellectual honesty would seem to me to require listening to all sides of a debate, instead of dismissing a whole theory of economics (such as the Austrian school) primarily because it doesn’t use math as its starting point. Fortunately, there are very good texts that argue against fractional-reserve banking and the role it may actually play in causing economic instability. One of them is “Money, Bank Credit, and Economic Cycles” by Jesus Huerta de Soto.

I really enjoyed the conference because it seemed to combine all of the interests I’ve developed over the years: math, probability theory, neuroscience, economics, and computers. I’ve had a hobbyist interest in Economics ever since graduate school at the Mayo Clinic when I was learning about Linux and Python. I fell in love with open source software but wanted to understand how “giving software away” could work sustainably in a society. It was this question that led to me finally reading Mises and Rothbard and a whole host of other non main-stream economists. I can’t say I’ve figured anything out, but I have very much enjoyed the ride.

I’m also very hopeful in some of the ideas I saw at the conference that may help us inch closer to an understanding of the truth of an economic system (mathematically modeling changing preferences, using agent-based models, and even the idea of local currencies that was discussed among some at the conference).

In the more immediate future. It looks like there is some discussion afoot for building a platform for agent-based modeling that I hope Python plays prominently in. There is a real power in using an expressive and dynamic language like Python that allows for rapid development. It is a general-purpose language that scientists and engineers can actually get excited about. In addition, the work of Paul Borrill’s company (Replicus) in creating an agent-based storage solution looks immediately promising. Perhaps Enthought can provide some tools to assist in managing such a system. I’m enthused and anxious to continue to support the improvement of using computers to help solve some of the world’s most challenging problems. There is much more that could be said, but I’m sure this blog (with no photos) is long enough.