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Jupyter
来自开放百科 - 灰狐
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jupyter已经支持50多种语言的内核,包括[[Lisp]]、[[R Project|R]]、F#、[[Perl]]、[[Ruby]]、[[Scala]]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[https://github.com/clojure/tools.nrepl nrepl]或[http://common-lisp.net/project/slime/ SLIME]。 | jupyter已经支持50多种语言的内核,包括[[Lisp]]、[[R Project|R]]、F#、[[Perl]]、[[Ruby]]、[[Scala]]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[https://github.com/clojure/tools.nrepl nrepl]或[http://common-lisp.net/project/slime/ SLIME]。 | ||
+ | |||
+ | ==新闻== | ||
+ | *[https://conferences.oreilly.com/jupyter/jup-ny JupyterCon in New York 2017] | ||
+ | |||
+ | ==简介== | ||
+ | Jupyter is the new front end for data science and AI. | ||
==指南== | ==指南== | ||
+ | $ pip3 install notebook | ||
$ jupyter 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 | ||
==Atom== | ==Atom== | ||
第13行: | 第23行: | ||
$ jupyter qtconsole | $ jupyter qtconsole | ||
− | == | + | ==[[OpenShift]]== |
+ | *[https://blog.openshift.com/jupyter-openshift-using-openshift-data-analytics/ Jupyter on OpenShift: Using OpenShift for Data Analytics] | ||
+ | *[https://blog.openshift.com/jupyter-openshift-part-2-using-jupyter-project-images/ Jupyter on OpenShift Part 2: Using Jupyter Project Images] | ||
+ | *[https://blog.openshift.com/jupyter-on-openshift-part-3-creating-a-s2i-builder-image/ Jupyter on OpenShift Part 3: Creating a S2I Builder Image] | ||
+ | *[https://blog.openshift.com/jupyter-on-openshift-part-4-adding-a-persistent-workspace/ Jupyter on OpenShift Part 4: Adding a Persistent Workspace] | ||
+ | *[https://blog.openshift.com/jupyter-on-openshift-part-5-ad-hoc-package-installation/ Jupyter on OpenShift Part 5: Ad-hoc Package Installation] | ||
+ | *[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] | ||
+ | *[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] | ||
+ | |||
+ | ==JavaScript== | ||
+ | [https://n-riesco.github.io/ijavascript/ IJavascript] macOS安装: | ||
+ | $ sudo npm install -g ijavascript | ||
+ | $ ijsnotebook | ||
+ | |||
+ | ==[[PHP]]== | ||
+ | [https://github.com/Litipk/Jupyter-PHP Jupyter-PHP] | ||
+ | |||
+ | ==[[Go]]== | ||
+ | [https://github.com/gopherdata/gophernotes gophernotes] | ||
+ | |||
+ | ==[[Clojure]]== | ||
+ | *[https://github.com/roryk/clojupyter clojupyter] | ||
+ | |||
+ | ==相关== | ||
+ | *[[Apache Zeppelin]] | ||
+ | *[https://github.com/spark-notebook/spark-notebook Spark Notebook] | ||
==图集== | ==图集== | ||
<gallery> | <gallery> | ||
image:jupyter.jpg|Jupyter notebook | image:jupyter.jpg|Jupyter notebook | ||
+ | image:jupyterhub.png|JupyterHub | ||
image:jupyter-atom-notebook.png|Atom notebook | image:jupyter-atom-notebook.png|Atom notebook | ||
image:julia-using-jupyter.png|Julia | image:julia-using-jupyter.png|Julia | ||
+ | image:IJavascript.png|IJavascript | ||
+ | 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] | ||
+ | *[https://github.com/jupyter/notebook Jupyter Notebook @ GitHub] | ||
*[https://github.com/jupyter/jupyterhub JupyterHub @ GitHub] | *[https://github.com/jupyter/jupyterhub JupyterHub @ GitHub] | ||
+ | *[https://nbviewer.jupyter.org Jupyter Notebook Viewer] | ||
+ | *[http://docs.huihoo.com/jupyter/ jupyter文档] | ||
+ | *[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]] | ||
第35行: | 第77行: | ||
[[category:julia]] | [[category:julia]] | ||
[[category:clojure]] | [[category:clojure]] | ||
+ | [[category:huihoo]] |
2020年12月10日 (四) 06:43的版本
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Lisp、R、F#、Perl、Ruby、Scala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nrepl或SLIME。
目录 |
新闻
简介
Jupyter is the new front end for data science and AI.
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
Atom
Qt
$ jupyter qtconsole
OpenShift
- Jupyter on OpenShift: Using OpenShift for Data Analytics
- Jupyter on OpenShift Part 2: Using Jupyter Project Images
- Jupyter on OpenShift Part 3: Creating a S2I Builder Image
- Jupyter on OpenShift Part 4: Adding a Persistent Workspace
- Jupyter on OpenShift Part 5: Ad-hoc Package Installation
- Jupyter on OpenShift Part 6: Running as an Assigned User ID
- Jupyter on OpenShift Part 7: Adding the Image to the Catalog
JavaScript
IJavascript macOS安装:
$ sudo npm install -g ijavascript $ ijsnotebook
PHP
Go
Clojure
相关
图集
链接
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