A Jupyter/IPython kernel template which includes core magic functions (including help, command and file path completion, parallel and distributed processing, downloads, and much more).
See IPython's docs on wrapper kernels.
Additional magics can be installed within the new kernel package under a magics subpackage.
- Basic set of line and cell magics for all kernels.
- Python magic for accessing python interpreter.
- Run kernels in parallel.
- Shell magics.
- Classroom management magics.
- Tab completion for magics and file paths.
- Help for magics using ? or Shift+Tab.
- Plot magic for setting default plot behavior.
- matlab_kernel, https://github.com/Calysto/matlab_kernel
- octave_kernel, https://github.com/Calysto/octave_kernel
- calysto_scheme, https://github.com/Calysto/calysto_scheme
- calysto_processing, https://github.com/Calysto/calysto_processing
- java9_kernel, https://github.com/Bachmann1234/java9_kernel
- xonsh_kernel, https://github.com/Calysto/xonsh_kernel
- calysto_hy, https://github.com/Calysto/calysto_hy
- gnuplot_kernel, https://github.com/has2k1/gnuplot_kernel
- spylon_kernel, https://github.com/mariusvniekerk/spylon-kernel
- wolfram_kernel, https://github.com/mmatera/iwolfram
- sas_kernel, https://github.com/palmer0914/sas_kernel
- pysysh_kernel, https://github.com/Jaesin/psysh_kernel
... and many others.
You can install Metakernel through pip:
pip install metakernel --upgrade
Although MetaKernel is a system for building new kernels, you can use a subset of the magics in the IPython kernel.
from metakernel import register_ipython_magics
register_ipython_magics()Put the following in your (or a system-wide) ipython_config.py file:
# /etc/ipython/ipython_config.py
c = get_config()
startup = [
'from metakernel import register_ipython_magics',
'register_ipython_magics()',
]
c.InteractiveShellApp.exec_lines = startupExample notebooks can be viewed here.
Documentation is available online. Magics have interactive help (and online).
For version information, see the Revision History.