- Jupyter for Data Science
- Dan Toomey
- 81字
- 2021-07-08 09:22:35
Sharing on GitHub
GitHub (and others) allow you to place a notebook on their servers that, once there, can be accessed directly using the nbviewer. The server has installed Python (and other language) coding needed to support your notebook. The nbviewer is a read-only use of your notebook, and is not interactive.
The nbviewer is available at https://github.com/jupyter/nbviewer. The site includes specific parameters which need to be added to the ipython notebook command, such as the command to start the viewer.
推薦閱讀
- HTML5+CSS3+JavaScript從入門(mén)到精通:上冊(cè)(微課精編版·第2版)
- Spring Boot開(kāi)發(fā)與測(cè)試實(shí)戰(zhàn)
- Redis Applied Design Patterns
- Servlet/JSP深入詳解
- Java持續(xù)交付
- TypeScript實(shí)戰(zhàn)指南
- Learning Apache Kafka(Second Edition)
- Access 2010數(shù)據(jù)庫(kù)應(yīng)用技術(shù)(第2版)
- Oracle數(shù)據(jù)庫(kù)編程經(jīng)典300例
- HTML5+CSS3+jQuery Mobile APP與移動(dòng)網(wǎng)站設(shè)計(jì)從入門(mén)到精通
- Unity 5.X從入門(mén)到精通
- INSTANT LESS CSS Preprocessor How-to
- Mastering XenApp?
- HTML5 Canvas核心技術(shù):圖形、動(dòng)畫(huà)與游戲開(kāi)發(fā)
- The Applied Data Science Workshop