- Jupyter Notebook Markdown Format Code
- Jupyter Notebook Markdown Latex
- Jupiter Notebook Format Markdown Download
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment. Learn how to work with cells, including Python code and Markdown text cells, in Jupyter Notebook. Jupyter Notebook Markdown is an extension of a flavour of Markdown called CommonMark Markdown. It has many elements for standard text processing, though it lacks a lot of features used for publishing and documentation. Here's how to format Markdown cells in Jupyter notebooks: Headings Use the number sign (#) followed by a blank space for notebook titles and section headings: # for titles ## for major headings ### for subheadings #### for 4th level subheadings; Emphasis Use the following code to emphasize text: Bold text: string or.string. Italic text.
Just… wow…
Every time I miss attending the OER conf (which is most years, which is stupid because all the best peeps are there) I try to assuage my guilt by tinkering with some OpenLearn stuff.
This year, I revisted my OpenLearn XML scraper – first sketch notebook here – scraping the figure data into a SQLite db that I then popped onto Heroku as a datasette (a single command line command – datasette publish heroku openlearn.sqlite posts the sqlite database to Heroku as a running app, so thanks to Simon Willison, it’s not hard, right?).
That’s okay as far as it goes – there are some notes in the notebook about more nuggets that can be pulled from the OpenLearn OU-XML – but it falls short of giving a demo gallery of images.
The latest version of datasette supports plugins, as well as the original templating, which means I should be able to put together a simple gallery viewer, allowing figure caption / description data to be searched then showing the results with the corresponding images alongside. But there’s still learning for me to be done there (I still don’t grok jinja templates) and I wanted a quick win…
Tinkering with Simon Biggs’ ScriptedForms Jupyter hack has been on my to do list for a bit, and with its markdown + python interactive app scripting, it looked like it contained the promise of a quick win. And it did…
For example, here’s a markdown script in a file openlearnq.md:
and here’s the running app (launched from the command line as scriptedforms openlearnq.md).
I have a github repo here to try to run this via Binderhub:
PS as to setting up the github repo, it was done without git: the repo was created online, the binder/ dir files (cribbed from SimonBiggs/scriptedforms-examples) were created and edited onlin evia the Github web UI, the openlearn-example.md and openlearn.sqlite files were automatically uploaded once I’d dragged from my desktop onto the repo web page, leaving it to me to just commit them (which I forgot the first time!). See also: Easy Web Publishing With Github
PPS I’m also wondering if it would be possibly to run datasette in the same Binder container and then query the sqlite db via the datasette API service?
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Jupyter Notebook Markdown Format Code
- Selected Reading
Markdown cell displays text which can be formatted using markdown language. In order to enter a text which should not be treated as code by Notebook server, it must be first converted as markdown cell either from cell menu or by using keyboard shortcut M while in command mode. The In[] prompt before cell disappears.
Header cell
A markdown cell can display header text of 6 sizes, similar to HTML headers. Start the text in markdown cell by # symbol. Use as many # symbols corresponding to level of header you want. It means single # will render biggest header line, and six # symbols renders header of smallest font size. The rendering will take place when you run the cell either from cell menu or run button of toolbar.
Following screenshot shows markdown cells in edit mode with headers of three different levels.
When cells are run, the output is as follows −
Note that Jupyter notebook markdown doesn’t support WYSWYG feature. The effect of formatting will be rendered only after the markdown cell is run.
Ordered Lists
To render a numbered list as is done by <ol> tag of HTML, the First item in the list should be numbered as 1. Subsequent items may be given any number. It will be rendered serially when the markdown cell is run. To show an indented list, press tab key and start first item in each sublist with 1.
Jupyter Notebook Markdown Latex
If you give the following data for markdown −
It will display the following list − Tap square size.
Bullet lists
Each item in the list will display a solid circle if it starts with – symbol where as solid square symbol will be displayed if list starts with * symbol. The following example explains this feature −
The rendered markdown shows up as below −
Hyperlinks
Markdown text starting with http or https automatically renders hyperlink. To attach link to text, place text in square brackets [] and link in parentheses () optionally including hovering text. Following screenshot will explain this.
The rendered markdown appears as shown below −
Jupiter Notebook Format Markdown Download
Bold and Italics
To show a text in bold face, put it in between double underscores or two asterisks. To show in italics, put it between single underscores or single asterisks.
The result is as shown below −
Images
To display image in a markdown cell, choose ‘Insert image’ option from Edit menu and browse to desired image file. The markdown cell shows its syntax as follows −
Image will be rendered on the notebook as shown below −
Table
In a markdown cell, a table can be constructed using | (pipe symbol) and – (dash) to mark columns and rows. Note that the symbols need not be exactly aligned while typing. It should only take respective place of column borders and row border. Notebook will automatically resize according to content. A table is constructed as shown below −
The output table will be rendered as shown below −