Like so much of what we do DataStructure is set up to span from small scale and pedagogical to large scale and full industrial strength. Here’s how you create a linked list data structure: If you have a particular kind of data structure you want to use, you can just ask for it by name, and use it. And internal to the Wolfram Language we’ve always used all sorts of data structures, optimized for different purposes, and automatically selected by our algorithms and meta-algorithms.īut now with DataStructure there’s something new. Of course it’s huge that we already have a universal “data structure”: the symbolic expressions in the Wolfram Language. Our goal is to have all of them seamlessly usable directly in the Wolfram Language, and accessible in compiled code, etc. Think about all those data structures that get mentioned in textbooks, papers, libraries, etc. Well, now we’re adding another category: data structures. And in each case we’ve made the things seamlessly computable as part of the Wolfram Language. We’ve curated many kinds of things in the past: chemicals, equations, movies, foods, import-export formats, units, APIs, etc. In Version 12.1 there’s now a spinoff from the project-which is actually a very important project in its own right: the new DataStructure function. Version 12.0 was the first exposure of this project. One of our major long-term projects is the creation of a full compiler for the Wolfram Language, targeting native machine code. Data Structures & Structured Data A Computer Science Story: DataStructure (March 2020) The contents of this post are compiled from Stephen Wolfram’s Release Announcements for 12.1, 12.2, 12.3 and 13.0. Here are the updates in data structures, compilation and parallelization since then. Two years ago we released Version 12.0 of the Wolfram Language.
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