June 19 Public Webinar on Python for Scientific Computing

I had such a blast at the last public webinar that we did to promote Python for Scientific Computing. I am really looking forward to the next webinar which is only a week away (June 19). We had 100 people attend the last one. I know that some who wanted to attend could not because of a mix-up on times, or a problem with the fact that GoToMeeting doesn’t support Linux (I’m not very happy about that, but I don’t see another option right now). I apologize for all those problems, but hope you will try to attend again.

There is a lot that we could cover in these webinars, and I’m anxious for your feedback about what you would like to see. My plan is to put a schedule together so the topics are listed through the end of December after this next webinar. Now is the chance to make your opinion known if you’d like to steer these webinars in a particular direction. Schedules are busy and varied, so I’d like to give plenty of notice so that more people can attend the webinar they are most interested in.

In this upcoming webinar we are going to provide an introduction and demo of Chaco (which we didn’t get to the last time). If there is time, I will also continue the Mayavi demonstration (particular the mlab interface) that we started last time, but I also wanted to showoff EPDLab to a wider audience. You can register for the webinar at https://www1.gotomeeting.com/register/303689873

In the EPD subscriber webinar on June 5th, we discussed EPDLab (an open-source interactive Python environment included as part of EPD). Because EPDLab is a free and open-source project that anyone can participate in, contribute code to, and use as they would like, I think it deserves some attention at this next public webinar. Not only does it provide an enhanced scientific computing environment, it also provides an introduction to the Enthought Tool Suite (a free and open-source collection of tools for building compelling scientific applications — it goes by the abbreviation ETS).

I hope you will excuse a brief aside to clarify ETS and its relationship to EPD. Because we do sell a binary distribution of Python tools called the Enthought Python Distribution (EPD — which also happens to contain ETS), there is sometimes some confusion regarding the license and availability of ETS. ETS is a large BSD-licensed open-source collection of tools with a public SVN repository that anyone can contribute to and participate in the development of. Enthought has released a lot of code in that library which has made it possible for us to write sophisticated, compelling, and attractive scientific computing applications for our customers. ETS contains multiple separate projects. The most important and developed of these projects are Mayavi, Chaco, Traits, TraitsUI, and Envisage. You can learn more about ETS at Enthought’s open source portal.

But, Enthought is a small company and the majority of our marketing effort right now is centered around getting the word out about EPD and our other products and services like training and custom software creation. We don’t have the man-power to advertise ETS very well at the same time, and it can be a little confusing that EPD the distribution does cost money for commercial use, but ETS is free and open-source. Fortunately, people like Gael Varoquaux and Prabhu Ramachandran lead the internet charge to spread the word about the great tools in ETS.

I’m looking forward to seeing many of you on-line again at 1:00pm (Central Daylight Time) on Friday, June 19th. Slides and a recording of the webinar will also be made available here after conclusion of the webinar.

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