moduextension


Namemoduextension JSON
Version 0.1.1 PyPI version JSON
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home_pagehttps://github.com/mentoreet/modu-jupyterlab-ext.git
Summarymoducoding jupyterlab extension
upload_time2023-01-12 08:00:19
maintainer
docs_urlNone
authormoducoding
requires_python>=3.7
licenseBSD-3-Clause
keywords jupyter jupyterlab jupyterlab3
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # React Widget

> Create a React.js Widget in JupyterLab.

This extension shows how to use the `ReactWidget` wrapper from `@jupyterlab/apputils` to use React in a JupyterLab extension.

![react-widget](preview2.gif)

## Install

```bash
jlpm
jlpm build
jupyter labextension install .

# Rebuild Typescript source after making changes
jlpm build
# Rebuild JupyterLab after making any changes
jupyter lab build
```

You can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.

```bash
# Watch the source directory in another terminal tab
jlpm watch
# Run jupyterlab in watch mode in one terminal tab
jupyter lab --watch
```

## React Developer Tools

It is possible to use the [React Developer Tools](https://chrome.google.com/webstore/detail/react-developer-tools/fmkadmapgofadopljbjfkapdkoienihi?hl=de) Chrome extension to inspect React components.

![react-dev-tools](preview.gif)

1. 환경 설정
   ```bash
   > curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash
   > source ~/.bashrc
   > nvm install node
   ```
1. miniconda 설치
   [미니콘다 설치 파일 다운로드](https://docs.conda.io/en/latest/miniconda.html#linux-installers)
   ```bash
   > wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
   > chmod +x Miniconda3-latest-Linux-x86_64.sh
   > ./Miniconda3-latest-Linux-x86_64.sh
   # miniconda 설정 후
   > > conda install cookiecutter
   ```
   환경 설정이 .bashrc에 적용되므로 이걸 .zshrc로 복사해서 적용해야 함.
1. 주피터 환경 생성
   ```bash
   > conda create -n jupyterlab-ext --override-channels --strict-channel-priority -c conda-forge -c nodefaults jupyterlab=3 cookiecutter nodejs jupyter-packaging git python=3.9
   ```
1. 주피터 환경 활성화
   ```bash
   > conda activate jupyterlab-ext
   ```
   (비활성화는 conda deactivate)
1. cookiecutter로 확장 프로젝트 생성

   ```bash
   > cookiecutter https://github.com/jupyterlab/extension-cookiecutter-ts

   Select kind:
   1 - frontend
   2 - server
   3 - theme
   Choose from 1, 2, 3 [1]: 1
   author_name []: Your Name
   author_email []: your@name.org
   labextension_name [myextension]: jupyterlab_apod
   python_name [myextension]: jupyterlab_apod
   project_short_description [A JupyterLab extension.]: Show a random NASA Astronomy Picture of the Day in a JupyterLab panel
   has_settings [n]: n
   has_binder [n]: y
   repository [https://github.com/github_username/myextension]: https://github.com/github_username/jupyterlab_apod
   ```

1. 소스 symbolic link 설정하기(소스가 변경되었을 때 자동으로 반영되게)
   ```bash
   > jupyter labextension develop --overwrite .
   ```
1. 다른 탭에서 주피터 랩 실행하기
   ```bash
   > jupyter lab --no-browser
   ```
1. 코드 변경 반영하기
   ```bash
   > jlpm run build
   ```
   (또는 다른 탭에서 jlpm run watch 실행)
1. 필요한 라이브러리 설치
   ```bash
   > conda install tensorflow matplotlib scikit-learn
   ```

            

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    "description": "# React Widget\n\n> Create a React.js Widget in JupyterLab.\n\nThis extension shows how to use the `ReactWidget` wrapper from `@jupyterlab/apputils` to use React in a JupyterLab extension.\n\n![react-widget](preview2.gif)\n\n## Install\n\n```bash\njlpm\njlpm build\njupyter labextension install .\n\n# Rebuild Typescript source after making changes\njlpm build\n# Rebuild JupyterLab after making any changes\njupyter lab build\n```\n\nYou can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.\n\n```bash\n# Watch the source directory in another terminal tab\njlpm watch\n# Run jupyterlab in watch mode in one terminal tab\njupyter lab --watch\n```\n\n## React Developer Tools\n\nIt is possible to use the [React Developer Tools](https://chrome.google.com/webstore/detail/react-developer-tools/fmkadmapgofadopljbjfkapdkoienihi?hl=de) Chrome extension to inspect React components.\n\n![react-dev-tools](preview.gif)\n\n1. \ud658\uacbd \uc124\uc815\n   ```bash\n   > curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash\n   > source ~/.bashrc\n   > nvm install node\n   ```\n1. miniconda \uc124\uce58\n   [\ubbf8\ub2c8\ucf58\ub2e4 \uc124\uce58 \ud30c\uc77c \ub2e4\uc6b4\ub85c\ub4dc](https://docs.conda.io/en/latest/miniconda.html#linux-installers)\n   ```bash\n   > wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n   > chmod +x Miniconda3-latest-Linux-x86_64.sh\n   > ./Miniconda3-latest-Linux-x86_64.sh\n   # miniconda \uc124\uc815 \ud6c4\n   > > conda install cookiecutter\n   ```\n   \ud658\uacbd \uc124\uc815\uc774 .bashrc\uc5d0 \uc801\uc6a9\ub418\ubbc0\ub85c \uc774\uac78 .zshrc\ub85c \ubcf5\uc0ac\ud574\uc11c \uc801\uc6a9\ud574\uc57c \ud568.\n1. \uc8fc\ud53c\ud130 \ud658\uacbd \uc0dd\uc131\n   ```bash\n   > conda create -n jupyterlab-ext --override-channels --strict-channel-priority -c conda-forge -c nodefaults jupyterlab=3 cookiecutter nodejs jupyter-packaging git python=3.9\n   ```\n1. \uc8fc\ud53c\ud130 \ud658\uacbd \ud65c\uc131\ud654\n   ```bash\n   > conda activate jupyterlab-ext\n   ```\n   (\ube44\ud65c\uc131\ud654\ub294 conda deactivate)\n1. cookiecutter\ub85c \ud655\uc7a5 \ud504\ub85c\uc81d\ud2b8 \uc0dd\uc131\n\n   ```bash\n   > cookiecutter https://github.com/jupyterlab/extension-cookiecutter-ts\n\n   Select kind:\n   1 - frontend\n   2 - server\n   3 - theme\n   Choose from 1, 2, 3 [1]: 1\n   author_name []: Your Name\n   author_email []: your@name.org\n   labextension_name [myextension]: jupyterlab_apod\n   python_name [myextension]: jupyterlab_apod\n   project_short_description [A JupyterLab extension.]: Show a random NASA Astronomy Picture of the Day in a JupyterLab panel\n   has_settings [n]: n\n   has_binder [n]: y\n   repository [https://github.com/github_username/myextension]: https://github.com/github_username/jupyterlab_apod\n   ```\n\n1. \uc18c\uc2a4 symbolic link \uc124\uc815\ud558\uae30(\uc18c\uc2a4\uac00 \ubcc0\uacbd\ub418\uc5c8\uc744 \ub54c \uc790\ub3d9\uc73c\ub85c \ubc18\uc601\ub418\uac8c)\n   ```bash\n   > jupyter labextension develop --overwrite .\n   ```\n1. \ub2e4\ub978 \ud0ed\uc5d0\uc11c \uc8fc\ud53c\ud130 \ub7a9 \uc2e4\ud589\ud558\uae30\n   ```bash\n   > jupyter lab --no-browser\n   ```\n1. \ucf54\ub4dc \ubcc0\uacbd \ubc18\uc601\ud558\uae30\n   ```bash\n   > jlpm run build\n   ```\n   (\ub610\ub294 \ub2e4\ub978 \ud0ed\uc5d0\uc11c jlpm run watch \uc2e4\ud589)\n1. \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58\n   ```bash\n   > conda install tensorflow matplotlib scikit-learn\n   ```\n",
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