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Apr 27, 2019 · GitHub Extension. The JupyterLab GitHub extension provides a clean way to browse and use notebooks stored in other repositories. If you work with a team that uses Jupyter extensively, this is a great way to collaborate. Install the extension.

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For example: importpandasaspdimportpdvega# adds vgplot attribute to Pandas objectsdata=pd. Series([1,2,3,2,3,4,3,4,5])data.vgplot() You can also explicitly call the plot.display()method to display a plotsaved in a variable: plot=data.vgplot()plot.display() Using pdvegain JupyterLab¶.

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nbgather is a JupyterLab extension that has tools for cleaning code, recovering lost code, and comparing versions of code in Jupyter Lab. The extension saves you a history of all code you've executed and the outputs it produces to the notebook's metadata. After you download the extension, you can clean and compare versions of your code.

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The extension enables the integration of Neptune and Jupyter or JupyterLab. When the extension is successfully installed, you will be able to upload notebooks to Neptune, check out previously uploaded Notebooks, and track experiments and metrics directly from the Jupyter UI.

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JupyterLab will hold the base-level Webpack config for its externals library configuration and a script used to generate the externals for a given third party extension. The script recursively concats the externals of the upstream jupyter lab extensions, where an extension is a dependency that has a valid ['jupyter']['lab'] config in its ...

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JupyterLab Support¶ Run the following commands to install the necessary JupyterLab extensions: # renderer support jupyter labextension install jupyterlab - plotly # Jupyter widgets extension for jupyter labextension install @jupyter - widgets / jupyterlab - manager plotlywidget

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conda env create && \ conda activate jupyterlab-extension-examples The previous command will use the environment.yaml file as requirements for the environment. Develop and Use the Examples Build and Install all Examples at once jlpm jlpm build-ext jlpm install-ext jlpm build-jlab jupyter lab To clean the lib folders: jlpm clean-ext

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Use DJL Notebook on SageMaker Notebook¶. Amazon SageMaker Notebook is a all-you-can host Notebook instance with support for different ML tasks. Currently DJL contains Scala and Java notebooks that can be easily run on SageMaker Notebook.

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JupyterLab Github is a JupyterLab extension for accessing GitHub repositories. With this extension, you can select GitHub organizations, browse their repositories, and open the files in those repositories. If the repositories contain a jupyter notebook, you’ll be able to access them directly in your JupyterLab environment.

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If you wish to use any JupyterLab extensions included in the environment.yml and requirements.txt files, then you may need to rebuild the JupyterLab application. For simplicity, we typically include the instructions for re-building JupyterLab in a postBuild script. Here is what this script looks like in the example Horovod environments.
Its Hydrogen extension (, for example, provides an interactive coding environment that supports popular Jupyter kernels, including Python and R. You can read more about Atom and its extensions within its project documentation: Viewing a Jupyter notebook file in a text editor
A side note on the SQL extension for Jupyterlab Extensions are one of the most useful features of Jupyterlab and can enhance your entire data science workflow. The reason we used IPython magic in the tutorial above is because the Jupyterlab extension still seems to be its infancy.
A tab labeled “Git” as well as “Git panel” are available once JupyterLab git extension is properly installed, as shown on the figure below: Git setup This section is taken from the Software Carpentry Git lesson .
This will compile and run the extension in a new Extension Development Host window. Run the Hello World command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) in the new window: You should see the Hello World from HelloWorld! notification showing up. Success! Developing the extension. Let's make a change to the message:

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jupyterlab是jupyter notebook的下一代产品,集成了更多功能。目前开发到0.32.1版本,已经可以使用而且非常强大,据官网说法,当1.0.0版本出来之时,就会取代jupyter notebook。
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