cl-jupyter

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

 cl-jupyter: an enhanced interactive Common Lisp Shell
(Version 0.7 - Ipython protocol v.5.0)
--> (C) 2014-2015 Frederic Peschanski (cf. LICENSE)
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Important : this is beta-quality software, expect (and please report) some bugs...

Requirements

To try cl-jupyter you need :

• a Common lisp implementation, for now

  • either SBCL 1.2.x or above (with native threads enabled)

  • or Clozure CL 1.10 or above (with native threads enabled) ...

  • ECL is planned, for other implementations please fill an issue.

• Quicklisp (cf. http://www.quicklisp.org)

• Python 3.x (cf. http://www.python.org)

• Jupyter (a.k.a. IPython 4.x) or IPython 3.x (cf. http://www.jupyter.org)

Quick install

Please run the installation script :

python3 ./install-cl-jupyter.py

By default, cl-jupyter assumes SBCL as the default lisp implementation. Using CCL instead requires the following command line:

python3 ./install-cl-jupyter.py  --lisp=ccl

Note: cl-jupyter seems to work better with CCL on MacOS but on Linux everything's fine with SBCL and it is the most tested configuration. Alas, it seems cl-jupyter does not work on Windows (I cannot try myself). If using a VM I would recommend the Linux/SBCL configuration.

As an optional step, you can pre-install the quicklisp dependencies to avoid a veeeerrrry long first startup.

• using SBCL

  sbcl --load ./cl-jupyter.lisp
  

• using CCL

  ccl --load ./cl-jupyter.lisp
  

Running cl-jupyter

The console mode is a simple REPL that is useful to check that cl-jupyter is working.

Console mode

• for Jupyter

   jupyter console --kernel=lisp
  

• for IPython 3.x

   ipython3 console --kernel=lisp
  

Notebooks

The real interest of cl-jupyter is its use conjointly with the Jupyter notebook frontend. For a try, type:

• for Jupyter

  jupyter notebook
  

• for IPython 3.x

  ipython3 notebook
  

The file about-cl-jupyter.ipynb is an example of a Lisp-based notebook.

The file about-cl-jupyter.pdf is a printable PDF version of this notebook that can be generated by the Jupyter nbconvert tool.

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... have fun !