sk-sugar 0.0.6

Python version of SUGAR

SUGAR

Python version of [sugar][sugar]

Install

pip install sk-sugar

Setup

To get all the pagackes required, run the following command:

$ conda env create -f environment.yml

This will create a new conda environment sklab-sugar, which can be activated via:

$ conda activate sklab-sugar

Add kernel to Jupyter Notebook

automatic conda kernels

For greater detail see the official docs for nb_conda_kernels. In short, install nb_conda_kernels in the environment from which you launch JupyterLab / Jupyter Notebooks from (e.g. base) via:

$ conda install -n <notebook_env> nb_conda_kernels

to add a new or exist conda environment to Jupyter simply install ipykernel into that conda environment e.g.

$ conda install -n <python_env> ipykernel

manual ipykernel

add to your Jupyter Notebook kernels via

$ python -m ipykernel install --user --name sklab-sugar

It can be removed via:

$ jupyter kernelspec uninstall sklab-sugar

list kernels found by Jupyter

kernels recognized by conda

$ python -m nb_conda_kernels list

check which kernels are discovered by Jupyter:

$ jupyter kernelspec list