It is hit or miss with other people who know how to read the software or even use it.

Well it is like learning another programming language so you have to get over that barrier. I particularly have used it for signal processing. Otherwise it has a lot of really cool math functionality for analzying data.

Analytical solving is a breeze with this and it is intuitive how it all appears, as if you wrote it on a sheet of paper. Mathematica is really great at solving symbolic math equations. If more people used it, it would be more valuable. Otherwise the language is a little clunky. That said, I doubt many will ever use it.Ĭomentarios: Overal really useful if you know how to use it and particularly strong at analytical calculus and symbolic equations. Some secondary functionalities like the Presentation notebook are not so well developed, yet. New functionality like 'Cloud-deploy' allow anybody to run algorithm made in Mathematica from anywhere in the world, from any device, with the only need of having an internet connection and a compatible browser. Mathematica is a very flexible and multi-purpose software language that can be used for programming pretty much anything. Maybe you can say that Labview somehow reaches the same level of integration. In Mathematica, every package is fully integrated with the rest of the platform like no other software. Everything is curated and maintained up to date.Ĭompeting platforms like Matlab sure offer a larger set of functionalities, but the integration of the many 'packages' is too often very poor. Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha.The most critical feature of Mathematica (and Wolfram products in general) is that everything is seamlessly perfectly integrated. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.

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