Jupyter Server Proxy lets you run arbitrary external processes (such asRStudio, Shiny Server, Syncthing, PostgreSQL, Code Server, etc)alongside your notebook server and provide authenticated web access tothem using a path like /rstudio
next to others like /lab
. Alongsidethe python package that provides the main functionality, the JupyterLabextension (@jupyterlab/server-proxy
) provides buttons in theJupyterLab launcher window to get to RStudio for example.
Note: This project used to be called nbserverproxy. Asnbserverproxy is an older version of jupyter-server-proxy, uninstallnbserverproxy before installing jupyter-server-proxy to avoid conflicts.
The primary use cases are:
The documentationcontains information on installation & usage.
jupyterlab>=2
or notebook
pip install jupyter-server-proxy
conda install jupyter-server-proxy -c conda-forge
Note that as the JupyterLab extension only is a graphical interface tolaunch registered applications in the python package, the extensionrequires the python package to be installed.
As of version 3.0.0 the Python package ships with a JupyterLab 3 compatibleextension, making this step only needed for JupyterLab 2.
jupyter labextension install @jupyterlab/server-proxy
See CONTRIBUTING.md.
jupyter-notebook 以yarn模式运行出现的问题及解决 原创小白programmer 最后发布于2018-11-21 10:53:01 阅读数 519 收藏 展开 jupyter-notebook 以yarn模式运行的出现的问题及解决方法 之前用pyspark虚拟机只跑了单机程序,现在想试试分布式运算。 在做之前找了书和博客来看,总是有各种各样的问题,无法成功。现在特记录一下过程:
Mac jupyter notebook --generate-config Writing default config to: /Users/lijundong/.jupyter/jupyter_notebook_config.py 修改刚刚生成的jupyter notebook的配置文件/home/anaconda/.jupyter/jupyter_notebook_config.py, /
ServerApp.iopub_data_rate_limit 报错 解决方案:官方文档 使用jupyter server --generate-config报错 pyenv: jupyter-server: command not found 解决 pyenv global 3.7.4 然后再输命令即可。 ServerApp.iopub_data_rate_limit报错具体内容 IOPu
我正在尝试从安装了Jupyter的笔记本电脑连接到Azure SQL Server实例。在这方面相当新,但有可能很容易解决的问题。 我已经通过PIP安装了64位Python3.7、Jupyter和AMD64 v17 pyodbc。然而,当我试图通过Jupyter连接时,我只是得到连接或驱动问题,不是很确定。 下面是我试图运行的代码,以连接并返回一个简单的前10行查询。 下面是我得到的错误消息: I
Jupyter notebook is formerly known as IPython notebook, it is a tool that helps you create readable analyses. Jupyter works with python kernel by default, but it also supports many other kernels. Keyb
Beyond Jupyter Notebooks �� All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" Resources of the presentation Video of th
OCaml Jupyter An OCaml kernel for Jupyter notebook. This provides an OCaml REPL with a great user interface such as markdown/HTML documentation, LaTeX formula by MathJax, and image embedding. Getting
mkdocs-jupyter: Use Jupyter Notebooks in mkdocs Add Jupyter Notebooks directly to the mkdocs navigation Support for multiple formats: .ipynb and .py files (using jupytext) Same style as regular Jupyte
Guide for Reproducible Research and Data Science in Jupyter Notebooks This guide is a community-resource of crowdsourced guidelines and tutorials for reproducible research in Jupyter Notebooks. This r