The Components of Mathics3¶
At one time, there was a single Python PyPI installable package that made up this open-source version of the Wolfram language. It included for example a Django-based front end.
However in order to facilitate using the parts of it in other projects or the parts you need, the original package and github repositories have has been broken up into separately installable packages, and separate github repositories. These reposities are now under the Mathics3 github organization. (The old organization and github repositories are around, but you will find no development there.)
Splitting up into packages reduces the dependencies needed for many of the individual components: when you only need part of Mathics3 you don’t needed to the code or dependencies for parts you don’t want. For example, if you might not need the Django-based front end; perhaps you do everything from a command line interface. If that is the case, then you don’t need to install Django or MySQL which Django uses in our implementation to save worksheet data.
On the other hand, if you only interested the Django interface and will never used the command-line interface, then you don’t need the the mathicsscript package and the python terminal packages that pulls in.
Natural-Language Processing (NLP) is a separate Mathics3 module; it requires OS package support and word lists that you might not have installed, and might not want to devote disk space for. Various Python interpreters cannot build the Python NLTK package.
However, if you do want everything, we have a separate package called Mathics-omnibus which pulls in all of the Mathics-related packages. As part of the github project is a docker setup.
Using this, you can use the full Mathics3 suite via dockerhub without having to build Mathics3 or have necessary OS libraries (including Python itself) outside of the docker containers.
The pieces are described next go into the individual Python-packages that make up the Mathics3 suite.
The Mathics3 core contains a parser, and evaluator, and some formatting routines.
Over time, formatting routines may be packaged separately
There is also a very rudimentary command-line shell called
The Mathics3 core required for any work with Mathics3.
If you are developing a non-interactive application written in Mathics3, you may no more than this.
Although we provide documentation on-line, inside the docker image , and extractable from the that, should you want to build your own PDF, you’ll need to have various TeX packages installed.
Front ends Mathics-Django and mathicsscript use mathics core.
Mathics3 Character Tables and Tokenizer¶
This is the tokeniser or scanner portion for the Wolfram Language.
As such, it also contains a full set of translation between Wolfram Language named characters, their Unicode/ASCII equivalents and code-points.
The scanner inside Mathics3 Core, but it can also be used for tokenizing and formatting Wolfram Language code. In fact mathics-pygments described in the next section uses this.
You can install this portion from PyPI. The github project is here.
Mathics3 Syntax Highlighting¶
There is a syntax highlighter called mathics-pygments which uses Pygments. It is based on rsmenon’s pygments-mathematics.
The main difference between the two is that the character tables are used here. Possibly over time more parts of the scanner will be used as well.
Mathicsscript uses this package.
The Mathics3 core comes with a very rudimentary command-line shell, if you want fancier shell features such as:
- Prompt toolkit and GNU Readline terminal interaction. This includes
saving command history between sessions.
variable completion, even for symbol names like \[Sigma]
limited ESC keyboard input; for example esc
pesc is π
Syntax highlighting using mathics-pygments
Automatic detection of light or dark terminal background color.
Entering and displaying Unicode symbols such as used for Pi or Rule arrows
There is a separately-installable PyPI package called mathicsscript.
If you prefer, as many do, browser-based interaction with nicely formatted graphics and MathML-formatted output, right now there is a Django-based PyPI package Mathics-Django.
Some of its features:
Extensive online documentation and interactive documentation via Ajax
Integrated graphics and MathML mathematics output via MathJax
Note: in the future we intend to also provide a Jupyter-like interface.
A number of the add-ons are not automatically loaded when Mathics3 starts, instead can be loaded from within Mathics3 using the Needs function.
However the Python packages need to have been Python installed outside of Mathics3 first for this to work.
Below we describe some of these packages. A full list can be found by looking in the Mathics3 organization.
Natural Language Python Module add-on¶
If you want Natural-Language processing, there is an additional PyPI package called pymathics-natlang.
To use this, you will need to have nltk and spacy installed.
Graph Python Module add-on¶
If you need to do work with Graph Theory or Networks you may want the Graph Python module called pymathics-graph.
To use this you will need to have networkx and matplotlib installed.
Matplotlib Python Module Backend Renderer¶
Currently this is a work in progress and works only in very limited way. It provides graphics rendering using matplotlib.
Asymptote Python Module Backend Renderer¶
Currently this is a work in progress and works only in very limited way. It provides graphics rendering using the asymptote vector graphics language.