This kernel adds support for Elm to Jupyter notebooks.
While basic functionality is in place, this is still very much a work in progress. I'm still figuring it all out. Any help, ideas, etc. would be great.
- Python 3.6+
Either install from a repository using pip:
pip install elm_kernel
or install the package from source:
pip install -e .
Then install the kernel spec:
python -m elm_kernel.install
Run jupyter notebook and select the Elm kernel for a new notebook.
By default, when you execute a code cell with the Elm kernel the code will not be compiled. Instead, the kernel simply queues up code cells. This way you can break longer examples over multiple cells, interleaving the code cells with supporting Markdown cells.
In order to ask the kernel to actually compile your code, you need to terminate a code cell with the line:
-- compile-code
When the kernel sees a cell like this it contatenates, in cell-execution order,
all of the executed but uncompiled code cells (i.e. everything since the start
of the kernel or the last -- compile-code cell). It then compiles the
concatenated code, returning the result to the notebook.
For a concrete example of this, see
examples/the-elm-architecture.ipynb.
This is a bit hacky, and we're actively searching for a better alternative. Ideas are welcome!
The examples directory contains a few examples of how to use this kernel. Just
go to that directory and run jupyter notebook to see them.