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lines changed Original file line number Diff line number Diff line change @@ -74,7 +74,7 @@ See the subsections below for more detailed instructions.
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Contains list of packages to install in Python3 conda environments,
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which are the default. ** This is where all Notebook versions &
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- notebook extensions (such as JupyterLab / nteract ) go** .
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+ notebook extensions (such as JupyterLab) go** .
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- ` repo2docker/buildpacks/conda/environment.py-2.7.yml `
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Original file line number Diff line number Diff line change @@ -46,37 +46,6 @@ And you can switch back to JupyterLab by replacing ``/tree/`` with ``/lab/``:
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http(s)://<server:port>/lab/
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-
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- nteract
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- =======
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-
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- `nteract is a notebook interface <https://nteract.io/ >`_ built with React.
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- It is similar to a more feature-filled version of the traditional
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- Jupyter Notebook interface.
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-
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- nteract comes pre-installed in any session that has been built from
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- a Python repository.
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-
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- You can launch nteract from within a user
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- session by replacing ``/tree `` with ``/nteract `` at the end of a notebook
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- server's URL like so:
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-
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- .. code-block :: none
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-
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- http(s)://<server:port>/nteract
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-
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- For example, the following Binder URL will open the
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- `pyTudes repository <https://github.com/norvig/pytudes >`_
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- and begin an nteract session in the ``ipynb `` folder:
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-
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- https://mybinder.org/v2/gh/norvig/pytudes/HEAD?urlpath=nteract/tree/ipynb
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-
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- The ``/tree/ipynb `` above is how nteract directs you to a specific file
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- or folder.
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-
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- To learn more about nteract, visit `the nteract website <https://nteract.io/about >`_.
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-
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RStudio
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=======
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Original file line number Diff line number Diff line change @@ -127,7 +127,6 @@ def get_build_scripts(self):
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- a frozen base set of requirements, including:
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- support for Jupyter widgets
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- support for JupyterLab
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- - support for nteract
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"""
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return super ().get_build_scripts () + [
Original file line number Diff line number Diff line change @@ -10,4 +10,3 @@ dependencies:
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- jupyterlab==3.4.8
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- jupyterhub-singleuser==3.1.1
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- notebook==6.4.12
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- - nteract_on_jupyter==2.1.3
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