Jupyter kernel for Singular
It is possible to use Jupyter as front-end for Singular.
These installation instructions are for Ubuntu Linux 16.04 (Xenial).
If you want to run the Jupyter notebook locally on your computer, you need a recent version of Python 3 and Jupyter installed.
To install Python3 run
apt-get install python3-pip
We recommend using Python3, but you can also use Python2.
To install Jupyter using pip, run
pip3 install jupyter
You need a recent (>= 4.1.0) version of Singular.
Installation instructions for Singular can be found here.
It is important to have a correctly installed Singular
and to have a Singular executable in your PATH.
Normally, running
make install
from the Singular installation directory after compiling Singular will ensure that the Singular executable is present in a directory that is in your PATH.
If you are compiling and installing
Singular with custom options, make sure both the Singular executable and libSingular
are available in your system executables and include/library paths.
The Jupyter kernel for Singular consists of two packages. You can install them via pip using
pip3 install PySingular
pip3 install jupyter_kernel_singular
While not recommended, it is possible to use the Jupyter kernel for Singular without the PySingular
package. If you have problems to install it, do not worry, it will be fine.
It is possible to display images created by surf in the Jupyter notebooks. For this, you need to download, compile, and install the latest version of surf.
Please configure and compile it via
./configure --disable-gui
make
make install
For pictures to be displayed in the Notebook, you need to load a specialized Singular library, and a specialized plot command. You can find an example of how to use it here.
After installing the kernel, you can start a Jupyter Notebook server by running
jupyter notebook
Now you can create a new notebook with Singular code.
Example notebooks can be found here and here.
The syntax highlighting for Singular was provided by Vincent Klein.