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Jupyter
来自开放百科 - 灰狐
(版本间的差异)
小 (→.NET) |
小 (→PHP) |
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第44行: | 第44行: | ||
$ sudo npm install -g ijavascript | $ sudo npm install -g ijavascript | ||
$ ijsnotebook | $ ijsnotebook | ||
+ | |||
+ | ==Haskell== | ||
+ | [[文件:Jupyter-haskell.png|right]] | ||
+ | |||
+ | [https://github.com/gibiansky/IHaskell IHaskell] A [[Haskell]] kernel for IPython. | ||
==[[PHP]]== | ==[[PHP]]== |
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。
[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
[编辑] Qt
$ jupyter qtconsole
[编辑] 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
[编辑] JavaScript
IJavascript macOS安装:
$ sudo npm install -g ijavascript $ ijsnotebook
[编辑] Haskell
IHaskell A Haskell kernel for IPython.
[编辑] PHP
[编辑] Go
[编辑] Clojure
[编辑] 相关
[编辑] 图集
[编辑] 链接
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