Using Markdown, you can get the syntax highlighting of code if programming language name is mentioned after the '```' three ticks and the example is given below: You can see after clicking "Run" the inline code renders with highlighting the code. Also,the Markup tag for a Code section is ' code goes here '. The Code section is the part that specifies the code of different programming languages and can be rendered where inline code starts with ' `inline code goes here` ' back-ticks around it, but the block of code starts with three back-ticks ' ``` block line code goes here ``` '.
They can be obtained by using Markdown symbol '>' or with text for blockquoteīoth of the syntaxes above can render the text in indented form after clicking 'Run' in the toolbar. The Headings starts with '#,' i.e., hash symbol followed by the space, and there are six Headings with the largest heading only using one hash symbol and the smallest titles using six hash symbols.Īlternatively, the headings can start with Markup Tags, i.e., from h1 to h6 with the following syntaxes.īoth of the syntaxes above can render the headings from h1 to h6 after clicking the 'Run' in the toolbar.īlockquotes can hold the large chunk of text and are generally indented. Markdown cells can be selected in Jupyter Notebook by using the drop-down or also by the keyboard shortcut 'm/M' immediately after inserting a new cell. You need to have Jupyter Notebook, the environment can be set up by using DataCamp's tutorial: Jupyter Notebook Tutorial: The Definitive Guide. In this tutorial, you can see the same result obtained by using Markup tags, and also the Markdown syntax which is supported by Jupyter Notebook. Markup language is similar to Hypertext Markup Language(HTML) made of Markup tags, and it consists of the opening tag and closing tag. It is often converted into the corresponding HTML which by the Markdown processor which allows it to be easily shared between different devices and people. Markdown is a lightweight and popular Markup language which is a writing standard for data scientists and analysts.
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