Experiment with mathematics on a Raspberry Pi using Wolfram tech. By Lucy Hattersley
Wolfram Language and Mathematica are included with the Raspbian Stretch with desktop and recommended software image. While these programs are confusing at first, they are essential pieces of kit for anybody who uses mathematics on a regular basis.
There are no shortage of learning resources around for Mathematica (and the Wolfram Language that underpins it). Here we’ve gathered some of the best Wolfram resources to help you get started.
Make sure you start here. This hands-on book, written by three Wolfram Language authors, is packed with detailed examples for all the impressive things you can do with Mathematica.
It starts with simple input and output examples, but quickly moves on to visualising data with 2D and 3D graphics and performing advanced calculus, probability, and statistics. It even works its way up to parallel and GPU programs.
Now in its eleventh edition, the book is fully updated. Each chapter has detailed instructions, with examples for interactive learning and end-of-chapter exercises. It’s packed with tips and advice on how to get the most from Mathematica.
For a sneak peek, Chapter 7 is available from the Wolfram website. Titled ‘Creating Interactive Models with a Single Command’, this is a good example of the kind of content you’ll find in the book. It outlines how to build plots with interactive sliders, buttons, and other controls.
Cliff Hastings also has a companion video that walks you through some of the concepts talked about in the book (above).
This book is where most Mathematica users start out. While we don’t think it’s enough on its own, it should be your first point of call.
Wolfram Language is very different from programming languages such as Python and C, and learning it can be challenging. So this book, written by Stephen Wolfram (the founder and CEO of Wolfram Research), proves very helpful.
It works more like a reference guide than a series of tutorials, with each couple of pages outlining a concept or feature of Wolfram Language. The whole programming language is too vast to be covered in a single book, so it doesn’t feature everything. Instead, it’s more like edited highlights of concepts you really need to know.
Like most Wolfram books, it starts out with elementary mathematics before moving on to functions lists and working with data. It also covers more advanced elements, such as natural language processing and machine learning – in not enough detail for you to get a complete understanding, but certainly enough to help you get started with each element.
There are even some chapters about debugging and advanced coding concepts, which is far beyond what you get in most other Mathematica resources. Best of all, An Elementary Introduction to the Wolfram Language is available online for free.
Reading books is all well and good, but in order to get a full understanding of Mathematica and Wolfram Language, it’s better to follow a course.
Wolfram U is packed with training lectures and interactive courses that cover the language. Your first stop should be the full interactive course for ‘An Elementary Introduction to the Wolfram Language’ that accompanies Stephen Wolfram’s book.
You get to watch a video demonstration of each skill, while the book text is displayed by the side and a Scratch Notebook enables you to work on code as the course material is delivered.
There’s a huge range of courses, covering a wide range of mathematical areas, such as Data Science & Statistics, Image & Signal Processing, Modelling & Simulation, and Finance. Some courses are more detailed than others, and many are just video demonstrations. But they all offer an interesting take on using Wolfram Language and Mathematica, and help you move further along than just reading books. There are also webinars and live events where you can meet up with other Wolfram learners.
Get help from other Wolfram users in the community with these links: