Talk given to the CU Boulder Computational Science and Engineering Research Group on April 20, 2017 about using NBExtensions in Jupyter Notebooks.
25'ten fazla konu seçemezsiniz Konular bir harf veya rakamla başlamalı, kısa çizgiler ('-') içerebilir ve en fazla 35 karakter uzunluğunda olabilir.
 
 
Keith 2d43546d47 updated license 7 yıl önce
README.md updated license 7 yıl önce
example_document.html updated example files and final commit 7 yıl önce
example_document.ipynb updated example files and final commit 7 yıl önce
nbextensions_talk.ipynb updated example files and final commit 7 yıl önce
nbextensions_talk.slides.html updated example files and final commit 7 yıl önce

README.md

Being More Productive with Jupyter Notebooks: An Introduction to NBExtensions

This talk is about how to get the most out of the NBExtensions feature of Jupyter Notebooks.

NBExtensions provide an array of interesting functionality to Jupyter and this talk touches on a few of them, including

  • gist-it
  • table of contents
  • spell checker,
  • and others

The original talk was presented on April 21, 2017 by me (myself and I) to the CU Boulder Computational Science and Engineering Research Group.

Installing the talk

This talk was originally written as a Jupyter notebook and the HTML file for the talk is using reveal.js.

To convert the talk to HTML you will need to run:

jupyter nbconvert nbextensions_talk.ipynb --to slides --reveal-prefix "http://cdnjs.cloudflare.com/ajax/libs/reveal.js/3.3.0"

Viewing the talk

While the source for the talk is provided here, you do not need to convert it unless you need to make modifications to it.

To view the talk, simply clone this repository and view the original HTML source in any browser in the

An example file that shows a few of these extensions at work can be found in the

Resources

To understand the full installation requirement for NBExtensions explore here:

https://github.com/ipython-contrib/jupyter_contrib_nbextensions

And if you’d like the convenience of installing the plugin configurator, that can be found here: https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator

The complete instructions and project documentation should be consulted to install and use properly to fullest extent.

LICENSE

CC-BY-4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.