kernelspecs
jupyter_client.kernelspec
argv
The list of arguments to start this kernel.
env
A dictionary of extra environment variables to declare, in addition to the current environment variables, when launching this kernel.
display_name
The name to display for this kernel in UI.
language
The name of the language the kernel implements, to help with picking appropriate kernels when loading notebooks.
metadata
Additional kernel-specific metadata; clients can use this as needed, for instance to aid in kernel selection and filtering.
Metadata added here should be namespaced for the tool reading and writing that metadata. Concretely, if you're adding a new field called supported_versions
which your tool recognizes, then you should add it as "mytool": {"supported_versions": [1, 2]}
, not as a top-level field called supported_versions
.
resource_dir
The path to the directory with this kernel's resources, such as icons.
to_json
find_kernel_specs
get_all_specs
get_kernel_spec
install_kernel_spec
NoSuchKernel
name
The name of the kernel which was requested.
find_kernel_specs get_kernel_spec(kernel_name) install_kernel_spec(source_dir, kernel_name=None, user=False, replace=False)
These methods from KernelSpecManager
are exposed as functions on the module as well; they will use all the default settings.