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So you can kind of see that it's really continuing to expand.

So this just kind of shows the continuing development of the - all of the functions that are built into the Wolfram Language. So if you buy a Raspberry Pi, for example, today, it actually comes with the Wolfram Language embedded on that device, can which is a nice way to kind of quickly tinker around and play with it and stuff. But we're also started to embed the language only devices. So if you have an iPhone or a Galaxy phone and you use technology like Siri, when you ask certain questions, our technology - like Wolfram|Alpha is actually being used on the back end to find the answer and stuff like that. So Wolfram Language is actually used on the back end of quite a few technologies, some of which you might use. So these are also a couple of the application areas that Michael will get more into when he comes up and speaks. And all of it is available to you in this kind of one consistent environment, consistent framework. There are functions related to machine learning, to statistical analysis, to creating visualizations. So there are functions in the language that are specific to doing things related to image processing. So this just kind of demonstrates a couple of the domains or different areas that are really touched on by the Wolfram Language. And Wolfram|Alpha has access to literally trillions of data points, everything from weather data to data on chemicals and compounds to stock data, and all of that data is available to you and easily accessible in the Wolfram Language. So Wolfram, the Wolfram Language is integrated with Wolfram|Alpha. So that's kind of the point of this slide.Īnd I mentioned built-in knowledge.

#Mathematica tabview labels code#

So where we used to really be talking about Mathematica and what you could do with Mathematica, now the shift - we've kind of shifting to talking about that core language and that core technology and the different ways you can push that code out and make it usable to not only you but your colleagues and managers and clients and customers as well. So where we used to - whoops, there goes my mic. So deployment is really an area we've focused on as well in the last couple years.

So everything doesn't need to be very high level and automated. And of course as Michael will probably show you, you can go into various functions to set things up specifically as you desire to. So building in a great deal of automation to make kind of things quicker and easier for you to build as somebody developing content. So I won't spend too much time on these tabs, but these are a lot of the kind of objectives of the language. All of these different domains we've really built into the core language. So both knowledge in the form of various datasets, which are accessible through Wolfram|Alpha, but also a great deal of knowledge about computations, whether it's in domains like machine learning or statistical analysis or image processing. And it's a language that attempts to incorporate and build in as much knowledge as possible.

And it's a language that we basically incubated in Mathematica for the past 25-plus years. So the language at the heart of Mathematica is now kind of formally called the Wolfram Language. So I will go ahead and get started with this overview for about ten minutes, and then I'll hand it off to Michael to get into some more specific application areas and stuff like that. And then start talking about the different ways of leveraging the language and making use of it, so from everything from kind of using it right in front of you to using it to create tools and interactive applications and even reports and different ways of kind of pushing all this stuff out to other people. I'd like to talk a little bit about what the Wolfram Language is and kind of what the philosophy is behind it and kind of the point of it. But I thought I would start off with giving sort of a higher level technology overview. I'll wait till Michael comes up here to kind of introduce himself and talk a little bit. So I got my undergraduate from Purdue University and got involved in kind of account management and technical sales with Wolfram. My background is in mechanical engineering. Nigel Hess: So my name is Nigel Hess, and I'm an account executive with Wolfram.