Included with the code is a significant amount of data (eg, dictionaries in several languages, full object models of movies/actors/artists/etc). The demo includes things like pulling pictures from the laptop camera, instantiating and training an image classifier, finding sub groups in a facebook social graph, deploying code, and getting code to connect to a deployed Wolfram application in Java (yes, those last two mean that there is a function call built into the language that allows you to deploy your code and another one that will give you code in another language to consume an API that you exposed via a deployment). The Wolfram language has everything built in – It is crazy what this language can do in a single line.
His basic premise is that the “pare down a language to the core and let all other functionality be a separate library” approach is wrong. This was more of a sales pitch for the Wolfram language than anything else, but it was fun seeing him demo this product. Keynote – Inside the Wolfram Language, Stephen Wolfram. The messages could be directly compared to something like a transaction log in SQL, but if maintained, you could process those messages to obtain point in time snapshots of the data, or to build up many separate (potentially denormalized) views of the data. The approach is to use messages along with message processing to build up a similar view to the database. This talk compared databases to global shared state (something that we’ve worked hard to get away from using inside of our applications) and then followed up with an alternative approach that can offer many of the same benefits of a standard database but in a different way. Turning the Database inside out with Apache Samza, Martin Kleppmann. Since all the sessions are available on YouTube (which is amazing, I wish CodeMash would do that) I’ve included brief summaries of my favorite sessions that you should check out. And of course distributed computing is becoming more important as the quantity of data available increases and processing the data and events requires more CPUs/machines. The focus at Strange Loop was beneficial though, since we should all get more comfortable with functional concepts and distributed computing as functional aspects are added to many imperative/object oriented languages. Strange Loop focused more on functional languages, often statically typed, and distributed computing. CodeMash includes a lot more on Test Driven Development, process concerns, and interpreted and dynamically typed languages. There’s also quite a difference in focus. It was also interesting to think about the differences between this conference and CodeMash. Not only did I learn a lot, but it was a ton of fun too. Last year I attended the Strange Loop conference in St.
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