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A MIT/GNU Scheme Jupyter kernel based on metakernel

Project description

mit-scheme-kernel

A MIT/GNU Scheme Jupyter kernel based on metakernel.

Features

  • Interactive execution of MIT/GNU Scheme code in Jupyter notebooks.
  • The kernel can be configured to use a different Scheme installation, such as the one provided by the Scmutils library. See the Configuration section below for more information.
  • Implements a cell magic command %%show_expression to render the output of a cell into LaTeX, in the same way as the show-expression function in the Smcutils. See the mechanics notebook for an example.
  • Plus all the features provided by metakernel.

Installation

Pre-requisites

It requires MIT/GNU Scheme to be installed (it expects the mit-scheme executable to be on the PATH).

Depending on the configuration, Scmutils may be required. See the installation instructions.

Installation

pip install mit-scheme-kernel

Post-installation

Run one of the following commands provided by metakernel:

# Install the kernel for the current Python environment
python -m mit_scheme_kernel install --sys-prefix

# Install the kernel for the current user
python -m mit_scheme_kernel install --user

# Global installation, might require root privileges
python -m mit_scheme_kernel install

# To find additional installation options, run:
python -m mit_scheme_kernel install --help

Configuration

There are a few configuration options available to customize the kernel's behavior. See the default configuration file for a description of these options.

To override the default configuration, create a YAML file containing the options you want to change and set the MIT_SCHEME_KERNEL_CONFIG environment variable to the file's absolute path.

For example, to change the mit-scheme executable to mechanics (the executable created when installing the Scmutils library):

cat > /tmp/my_config.yaml << EOF
executable: mechanics
filter_output: true
output_value_regex: ^\#\|\s*(.+)\s*\|\#$
EOF

export MIT_SCHEME_KERNEL_CONFIG=/tmp/my_config.yaml
# start Jupyter Notebook

Contributing

Contributions are more than welcome! If you have any suggestions, ideas, or improvements, please feel free to open an issue or a pull request. If you have any questions or would like to start a discussion, please feel free to reach out.

Take a look at the contributing guidelines for more information.

Credits

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