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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

Metadata

Release files for sk-sugar 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sk-sugar 0.0.6
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sk_sugar-0.0.6.tar.gz 17.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sk-sugar 0.0.6
File Interpreter ABI Platform
sk_sugar-0.0.6-py3-none-any.whl Python 3 none any Details

Total release size: 31.3 kB

Release files / sk_sugar-0.0.6.tar.gz

Download URL sk_sugar-0.0.6.tar.gz
Size 17.3 kB
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Release files / sk_sugar-0.0.6-py3-none-any.whl

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Size 13.9 kB
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Uploaded via twine/4.0.1 CPython/3.9.12

Release history Release notifications | RSS feed

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0.0.6 This release

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0.0.5

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0.0.4

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0.0.3

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0.0.2

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0.0.1

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