The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. The definition copied from the official website.
It’s becoming common to use Jupyter notebook to write books, do data analysis, reproducible experiments, etc… The file produced out of notebook follows JSON Schema. Yet to view the file, the user needs to use web-application or local notebook instance or browser instance.
Here is a 20 lines output of a notebook.
$cat 02.02-The-Basics-Of-NumPy-Arrays.ipynb | head -20
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<!--BOOK_INFORMATION-->\n",
"<img align=\"left\" style=\"padding-right:10px;\" src=\"figures/PDSH-cover-small.png\">\n",
"\n",
"*This notebook contains an excerpt from the [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do) by Jake VanderPlas; the content is available [on GitHub](https://github.com/jakevdp/PythonDataScienceHandbook).*\n",
"\n",
"*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<!--NAVIGATION-->\n",
"< [Understanding Data Types in Python](02.01-Understanding-Data-Types.ipynb) | [Contents](Index.ipynb) | [Computation on NumPy Arrays: Universal Functions](02.03-Computation-on-arrays-ufuncs.ipynb) >\n",
It’s hard to follow the content along with the schema. When the code is checked into the repository, it’s hard to view the content from the command line.
Over the weekend, I wrote a small command-line tool to render the notebook over the terminal with help of fantastic python library, rich.
Tool
jut is a command line tool to display jupyter notebook in the terminal. The tool takes in a jupyter notebook file or URL (Raw Github or any ipynb file link) and renders each cell content in the terminal. You can install the package by running pip command pip install jut
.
Here is a quick asciicinema demo
Usage
Display first five cells
Example: jut --input-file foo.ipynb --head 5
Display last five cells
Example: jut --input-file foo.ipynb --tail 5
Download the file and display first five cells
Example: jut --url https://raw.githubusercontent.com/fastai/fastbook/master/06_multicat.ipynb --head 5
Limitation
The tool only display text content like markdown, python code, python output, raw text, JSON and ignores any multi-media contents like images, PDF documents.
I hope the tool is a useful utility for folks working and handling with the Jupyter notebook. The code is available in GitHub, feel free to file bug report and file feature requests.
References
- Jupyter Project - https://jupyter.org/
- Github Page - https://github.com/kracekumar/jut
- Python Rich Library - https://github.com/willmcgugan/rich
See also
- HTTPie and Print HTTP Request
- Pulse Plus
- Python Typing Koans
- Model Field - Django ORM Working - Part 2
- Structure - Django ORM Working - Part 1
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.