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Jupyter
来自开放百科 - 灰狐
（版本间的差异）
小 (→Atom) |
小 (→.NET) |
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| 第19行： | 第19行： | ||
==.NET== | ==.NET== | ||
| − | [https://developers.refinitiv.com/en/article-catalog/article/using--net-core-in-jupyter-notebook Using .NET Core in Jupyter Notebook] | + | [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] |
$ dotnet tool install --global Microsoft.dotnet-interactive | $ dotnet tool install --global Microsoft.dotnet-interactive | ||
$ dotnet interactive jupyter install | $ dotnet interactive jupyter install | ||
2021年11月19日 (五) 02:13的版本
Jupyter
目录 |
新闻
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。
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
.NET
Using .NET Core in Jupyter Notebook .NET Interactive
$ dotnet tool install --global Microsoft.dotnet-interactive $ dotnet interactive jupyter install $ jupyter kernelspec list
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
Jupyter notebook
JupyterHub
Atom notebook
Julia
IJavascript
Docker堆栈
链接
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