Description:

jupyterkernelgen 0.1.0

jupyterkernelgen
Generates a jupyter kernel from a given conda environment
while ensuring that ipykernel is installed in that environment
so that the kernel can be used.
It prompts the user for the necessary inputs as it goes along
and will not touch existing jupyter kernels.
Installation
Pypi Installation:
https://pypi.org/project/jupyterkernelgen
pip install jupyterkernelgen

How to use:
Command Line:

You can use the jupyterkernelgen command.
If environment or name is specified in the command line arguments,
the user will not be prompted for the specified argument while running
--name, --environement, both, or neither can be specified

Examples
jupyterkernelgen --help
jupyterkernelgen
jupyterkernelgen -e ~/path/to/environment-1 -n kernel-name1
jupyterkernelgen -e ../path/to/environment-2 -n kernel-name2 -y
jupyterkernelgen -e ~/path/to/environment-3 -n kernel-name3

Arguments



Name
Shortcut
Type
Example
Description




--help
-h
N/A
N/A
Show help message.


--version
-v
N/A
N/A
The current version of jupyterkernelgen


--environment
-e
string
/path/to/environment
The path to a conda environment. May be an absolute or relative path


--name
-n
string
kernel-name
The name of the kernel to create


--yes
-y
N/A
N/A
Install necessary packages without prompt



In Python:

Import jupyterkernelgen and run the install() function

Examples
import jupyterkernelgen

jupyterkernelgen.install() # Install a kernel interactively
jupyterkernelgen.install(environment="/path/to/environment-1", name="kernel-name1") # Install a kernel with a specified path and name
jupyterkernelgen.install(environment="/path/to/environment-2", name="kernel-name2", yes=True) # Install a kernel without prompts

Arguments



Name
Type
Example
Description




environment
string
"path/to/environment"
The path to a conda environment. May be an absolute or relative path


name
string
"kernel-name"
The name of the kernel to create


yes
bool
True
Install necessary packages without prompt



Installing from source code

Clone the repository:

git clone https://github.com/phac-nml/jupyterkernelgen.git


Install the project:

cd jupyterkernelgen
pip install .


Execute the program:

jupyterkernelgen [-h] [-e ENVIRONMENT] [-n NAME] [-y]

Developer Notes
Legal
Copyright Government of Canada 2023
Written by: National Microbiology Laboratory, Public Health Agency of Canada
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this work except in compliance with the License.
You may obtain a copy of the License at:
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and limitations under the License.
Contact
Philip Mabon: philip.mabon@phac-aspc.gc.ca

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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