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Commit 0938e65

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rmorshearmorshea
committed
rename to reactpy + use anywidget
1 parent d66c4b4 commit 0938e65
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‎.gitignore

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*.egg-info/
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.ipynb_checkpoints/
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dist/
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build/
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*.py[cod]
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node_modules/
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Untitled*.ipynb
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# Compiled javascript
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idom_jupyter/nbextension/
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idom_jupyter/labextension/
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reactpy_jupyter/static/
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# OS X
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.DS_Store
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# Javascript
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node_modules/
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# Python
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venv
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Untitled*.ipynb
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

‎MANIFEST.in

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graft idom_jupyter/nbextension
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graft idom_jupyter/labextension
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graft jupyter-config
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graft js
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graft tests
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prune **/node_modules
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graft reactpy_jupyter/static
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include LICENSE
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include setup.py
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include setup.cfg
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include pyproject.toml
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include install.json
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# Patterns to exclude from any directory
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global-exclude *~
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global-exclude *.pyc
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global-exclude *.pyo
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global-exclude .git
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global-exclude .ipynb_checkpoints
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global-exclude *.map

‎README.md

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# idom-jupyter
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# reactpy-jupyter
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A client for [IDOM](https://github.com/idom-team/idom) implemented using Jupyter widgets
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A client for [ReactPy](https://github.com/reactive-python/reactpy) implemented using Jupyter widgets
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## Try It Now!
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Check out some live examples by clicking the badge below:
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<a href="https://mybinder.org/v2/gh/idom-team/idom-jupyter/main?filepath=notebooks%2Fintroduction.ipynb">
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<a href="https://mybinder.org/v2/gh/reactive-python/reactpy-jupyter/main?urlpath=lab%2Ftree%2Fnotebooks%2Fintroduction.ipynb">
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<img alt="Binder" height="25px" src="https://mybinder.org/badge_logo.svg" />
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</a>
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To install use `pip`:
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```
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pip install idom_jupyter
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pip install reactpy_jupyter
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```
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Then, before anything else, do one of the following:
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1. At the top of your notebook run
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```python
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import idom_jupyter
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import reactpy_jupyter
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```
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2. Register `idom_jupyter` as a permanant IPython extension in [your config file](https://ipython.readthedocs.io/en/stable/config/intro.html#introduction-to-ipython-configuration):
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2. Register `reactpy_jupyter` as a permanant IPython extension in [your config file](https://ipython.readthedocs.io/en/stable/config/intro.html#introduction-to-ipython-configuration):
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```python
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c.InteractiveShellApp.extensions = [
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'idom_jupyter'
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'reactpy_jupyter'
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]
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```
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## Usage
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Once you're done [getting started](#getting-started), you can author and display IDOM
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Once you're done [getting started](#getting-started), you can author and display ReactPy
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layouts natively in your Jupyter Notebook:
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```python
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import idom
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import reactpy
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@idom.component
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@reactpy.component
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def ClickCount():
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count, set_count = idom.hooks.use_state(0)
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return idom.html.button(
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count, set_count = reactpy.hooks.use_state(0)
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return reactpy.html.button(
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{"onClick": lambda event: set_count(count + 1)},
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[f"Click count: {count}"],
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)
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ClickCount()
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```
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You can also turn an `idom` element constructor into one that returns an `ipywidget` with
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the `idom_juptyer.widgetize` function. This is useful if you wish to use IDOM in combination
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You can also turn an `reactpy` element constructor into one that returns an `ipywidget` with
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the `reactpy_juptyer.widgetize` function. This is useful if you wish to use ReactPy in combination
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with other Jupyter Widgets as in the following example:
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```python
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ClickCountWidget = idom_jupyter.widgetize(ClickCount)
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ClickCountWidget = reactpy_jupyter.widgetize(ClickCount)
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ipywidgets.Box(
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[
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ClickCountWidget(),
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```
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Alternatively just wrap an `idom` element instance in an `idom_jupyter.LayoutWidget`:
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Alternatively just wrap an `reactpy` element instance in an `reactpy_jupyter.LayoutWidget`:
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```python
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ipywidgets.Box(
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[
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idom_jupyter.LayoutWidget(ClickCount()),
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idom_jupyter.LayoutWidget(ClickCount()),
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reactpy_jupyter.LayoutWidget(ClickCount()),
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reactpy_jupyter.LayoutWidget(ClickCount()),
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]
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)
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```
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For a more detailed introduction check out this live demo here:
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<a href="https://mybinder.org/v2/gh/idom-team/idom-jupyter/main?filepath=notebooks%2Fintroduction.ipynb">
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<a href="https://mybinder.org/v2/gh/reactive-python/reactpy-jupyter/main?filepath=notebooks%2Fintroduction.ipynb">
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<img alt="Binder" height="25px" src="https://mybinder.org/badge_logo.svg" />
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</a>
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## Development Installation
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$ git clone https://github.com/idom-team/idom-jupyter.git
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$ cd idom-jupyter
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$ git clone https://github.com/reactive-python/reactpy-jupyter.git
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$ cd reactpy-jupyter
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$ pip install -e .
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$ jupyter nbextension install --py --symlink --overwrite --sys-prefix idom_jupyter
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$ jupyter nbextension enable --py --sys-prefix idom_jupyter
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$ jupyter nbextension install --py --symlink --overwrite --sys-prefix reactpy_jupyter
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$ jupyter nbextension enable --py --sys-prefix reactpy_jupyter
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When actively developing your extension for JupyterLab, run the command:
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$ jupyter labextension develop --overwrite reactpy_jupyter
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‎RELEASE.md

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## Javascript release
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To release a new version of idom-client-jupyter on NPM, first register for an NPM account [here](https://www.npmjs.com/), then log in with `yarn login`. Then:
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To release a new version of reactpy-client-jupyter on NPM, first register for an NPM account [here](https://www.npmjs.com/), then log in with `yarn login`. Then:
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## Python release
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To release a new version of idom_jupyter on PyPI, first make sure that the `build` package is installed: `pip install build`.
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To release a new version of reactpy_jupyter on PyPI, first make sure that the `build` package is installed: `pip install build`.
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1. Update `reactpy_jupyter/_version.py`:
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- Update `__version__`
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- Update `NPM_PACKAGE_RANGE` if necessary
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2. Commit changes to `_version.py` and tag the release
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```
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git add idom_jupyter/_version.py
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git add reactpy_jupyter/_version.py
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git tag -a X.X.X -m 'comment'
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```
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3. Generate Python packages and upload to PyPI:

‎binder/postBuild

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#!/usr/bin/env bash
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set -e
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npm install -g yarn
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pip install .

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