Jupyter

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Jupyter
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==新闻==
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*[https://conferences.oreilly.com/jupyter/jup-ny JupyterCon in New York 2017]
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==简介==
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Jupyter is the new front end for data science and AI.
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jupyter是[[IPython]]剥离出来成为一个语言无关的独立软件包。
 
jupyter是[[IPython]]剥离出来成为一个语言无关的独立软件包。
  
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==指南==
 
==指南==
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$ pip3 install notebook
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$ jupyter notebook
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$ jupyter notebook --port 9999
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可能的出错:Socket Error 99 for ipython notebook
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$ jupyter notebook --ip=127.0.0.1
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==.NET==
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[https://developers.refinitiv.com/en/article-catalog/article/using--net-core-in-jupyter-notebook Using .NET Core in Jupyter Notebook] [https://github.com/dotnet/interactive .NET Interactive]
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$ dotnet tool install --global Microsoft.dotnet-interactive
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$ dotnet interactive jupyter install
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$ jupyter kernelspec list
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==Atom==
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[https://github.com/jupyter/atom-notebook atom-notebook]
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==Qt==
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[https://jupyter.org/qtconsole/stable A Qt Console for Jupyter]
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$ jupyter qtconsole
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==[[OpenShift]]==
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*[https://blog.openshift.com/jupyter-openshift-using-openshift-data-analytics/ Jupyter on OpenShift: Using OpenShift for Data Analytics]
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*[https://blog.openshift.com/jupyter-openshift-part-2-using-jupyter-project-images/ Jupyter on OpenShift Part 2: Using Jupyter Project Images]
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*[https://blog.openshift.com/jupyter-on-openshift-part-3-creating-a-s2i-builder-image/ Jupyter on OpenShift Part 3: Creating a S2I Builder Image]
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*[https://blog.openshift.com/jupyter-on-openshift-part-4-adding-a-persistent-workspace/ Jupyter on OpenShift Part 4: Adding a Persistent Workspace]
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*[https://blog.openshift.com/jupyter-on-openshift-part-5-ad-hoc-package-installation/ Jupyter on OpenShift Part 5: Ad-hoc Package Installation]
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*[https://blog.openshift.com/jupyter-on-openshift-part-6-running-as-an-assigned-user-id/ Jupyter on OpenShift Part 6: Running as an Assigned User ID]
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*[https://blog.openshift.com/jupyter-on-openshift-part-7-adding-the-image-to-the-catalog/ Jupyter on OpenShift Part 7: Adding the Image to the Catalog]
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==JavaScript==
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[https://n-riesco.github.io/ijavascript/ IJavascript] macOS安装:
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$ sudo npm install -g ijavascript
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$ ijsnotebook
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==Haskell==
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[[文件:Jupyter-haskell.png|right]]
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[https://github.com/gibiansky/IHaskell IHaskell] A [[Haskell]] kernel for IPython.
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==[[PHP]]==
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[https://github.com/Litipk/Jupyter-PHP Jupyter-PHP]
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==[[Go]]==
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[https://github.com/gopherdata/gophernotes gophernotes]
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==[[Clojure]]==
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*[https://github.com/roryk/clojupyter clojupyter]
  
==语言==
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==相关==
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*[[Apache Zeppelin]]
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*[https://github.com/spark-notebook/spark-notebook Spark Notebook]
  
 
==图集==
 
==图集==
 
<gallery>
 
<gallery>
image:jupyter.jpg|Jupyter
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image:jupyter.jpg|Jupyter notebook
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image:jupyterhub.png|JupyterHub
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image:jupyter-atom-notebook.png|Atom notebook
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image:julia-using-jupyter.png|Julia
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image:IJavascript.png|IJavascript
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image:jupyter-docker-stacks.png|Docker堆栈
 
</gallery>
 
</gallery>
  
 
==链接==
 
==链接==
 
*[http://jupyter.org/ jupyter官网]
 
*[http://jupyter.org/ jupyter官网]
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*[https://github.com/jupyter/notebook Jupyter Notebook @ GitHub]
 
*[https://github.com/jupyter/jupyterhub JupyterHub @ GitHub]
 
*[https://github.com/jupyter/jupyterhub JupyterHub @ GitHub]
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*[https://nbviewer.jupyter.org Jupyter Notebook Viewer]
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*[http://docs.huihoo.com/jupyter/ jupyter文档]
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*[https://zhuanlan.zhihu.com/p/32320214 最详尽使用指南:超快上手Jupyter Notebook]
  
 
[[category:data science]]
 
[[category:data science]]
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[[category:computational science]]
 
[[category:data analysis]]
 
[[category:data analysis]]
 
[[category:data visualization]]
 
[[category:data visualization]]
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[[category:julia]]
 
[[category:julia]]
 
[[category:clojure]]
 
[[category:clojure]]
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[[category:huihoo]]

2021年12月13日 (一) 10:42的最后版本

Jupyter

目录

[编辑] 新闻

[编辑] 简介

Jupyter is the new front end for data science and AI.

jupyter是IPython剥离出来成为一个语言无关的独立软件包。

jupyter已经支持50多种语言的内核,包括LispR、F#、PerlRubyScala等。事实上即使IPython本身也是一个jupyter Python模块。提供 REPL(读取,求值,打印循环)交互式开发环境,类似于nreplSLIME

[编辑] 指南

$ pip3 install notebook
$ jupyter notebook
$ jupyter notebook --port 9999

可能的出错:Socket Error 99 for ipython notebook

$ jupyter notebook --ip=127.0.0.1

[编辑] .NET

Using .NET Core in Jupyter Notebook .NET Interactive

$ dotnet tool install --global Microsoft.dotnet-interactive
$ dotnet interactive jupyter install
$ jupyter kernelspec list

[编辑] Atom

atom-notebook

[编辑] Qt

A Qt Console for Jupyter

$ jupyter qtconsole

[编辑] OpenShift

[编辑] JavaScript

IJavascript macOS安装:

$ sudo npm install -g ijavascript
$ ijsnotebook

[编辑] Haskell

Jupyter-haskell.png

IHaskell A Haskell kernel for IPython.

[编辑] PHP

Jupyter-PHP

[编辑] Go

gophernotes

[编辑] Clojure

[编辑] 相关

[编辑] 图集

[编辑] 链接

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