Anil is a computer science and statistics major at the University of Illinois Urbana-Champaign. He is an avid hacker who enjoys creating rich interactive software and has a wide set of experience in both front end and back end design. Ever impressed by Wolfram technologies, he joined the program to learn more about Wolfram’s abilities and how it can be applied in general consumption. He is particularly interested in data mining and artificial intelligence.
There is always a barrier to starting a journey to the road of programming. With the Wolfram Language, what better way to start than in a language that contains explosive datasets? The only problem is, there is a barrier to learning such a language—particularly, in its depth.
The real challenge of Cublet was in designing a simplified user experience over a functional programming paradigm. Cublet allows users to play with a friendly subset of the Wolfram Language (though users can play with more advanced functions of the language, should they want to) in an intuitive way. Users can share their creations with others across various forms of social media. In a sense, imagine combining the power of Wolfram with the community ecosystem of GitHub, where like-minded individuals can share and contribute to each other’s contributions, and the introductory primer and atmosphere that Scratch provides.