Display Jupyter Notebooks with Academic

Learn how to blog in Academic using Jupyter notebooks

from IPython.core.display import Image
Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png')

png

print("Welcome to Academic!")
Welcome to Academic!

Install Python and JupyterLab

Install Anaconda which includes Python 3 and JupyterLab.

Alternatively, install JupyterLab with pip3 install jupyterlab.

Create or upload a Jupyter notebook

Run the following commands in your Terminal, substituting <MY-WEBSITE-FOLDER> and <SHORT-POST-TITLE> with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:

mkdir -p <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
cd <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/
jupyter lab index.ipynb

The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.

Edit your post metadata

The first cell of your Jupter notebook will contain your post metadata (front matter).

In Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:

---
title: My post's title
date: 2019-09-01

# Put any other Academic metadata here...
---

Edit the metadata of your post, using the documentation as a guide to the available options.

To set a featured image, place an image named featured into your post’s folder.

For other tips, such as using math, see the guide on writing content with Academic.

Convert notebook to Markdown

jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=.

Example

This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter

Xiaojing Dai 戴晓婧
Xiaojing Dai 戴晓婧
Sr. Research Scientist

Xiaojing Dai is a Research Scientist at the University of Texas MD Anderson Cancer Center, under the pioneer department of Advanced Genomic Technology Core. She led the SOP, developing laboratory information management systems for advanced genomics sequencing and cell-based assays. She also worked as a research scientist at the University of Texas Health Science Center before her latest role. Before joining UT at MD Anderson, she earned her Ph.D. in the Neuroscience Program at The University of Tokyo and an M.D. from Ningxia Medical University in China. She is also jointly pursuing the Online Master of Science in Computer Science (OMSCS) at Georgia Institute of Technology (GaTech). Her research interests lie in AI for digital pathology, code structure learning, single-cell sequencing in software engineering in health, and medical imaging.