However, the latest version of the Raspberry Pi computer (model 4B) is finally a reasonably fast machine. Many people still like them for tinkering, or to setup as a PiHole DNS server. Not great for crunching a lot of numbers, either. Raspberry Pi has traditionally been known as an inexpensive and underpowered Linux computer. ĭue to the extensive built-in knowledge base and a vague interest in functional programming, I find Mathematica to be useful in scratching my data-processing itch. Not only does it return a result, but it also outputs Wolfram Language code which can be copied directly into your notebook for further analysis. Here is what happens when you submit this as a natural language query to Wolfram|Alpha’s web interface. For instance, it might be useful to query the population of a US county. But this is where Wolfram Language really shines. These issues, plus the seriousness of the pandemic, gave me a new appetite for data processing.Ĭobbling together datasets is tedious.

Often the axis origin is deceptive, or the data isn’t granular enough to show the specific county I’m interested in, or the data isn’t normalized by population (when it should be). Plots found online are interesting, but each plot seems to have a shortcoming.

Why do I use Mathematica?ĭuring the COVID-19 pandemic, I became frustrated with having to rely on information from newspapers and various online dashboards. If you’re a light user, this seems a bit high!įortunately I have a scheme which saved me about $240 and allowed me to tinker with Mathematica for as long as I want. After that, the Personal/Hobby license starts off at a steep $344. Wolfram offers a free trial of Mathematica, but the two weeks elapse quickly.

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