The Code below shows the syntax and the rendered output, Markdown – Numbered/Ordered list To create sublist under an item, press TAB and then start numbering the sublist from 1. , leave space and then item name and so on, example: 1. , leave a blank space and then the item name/title. To create an ordered/numbered list, write 1. The rendered output is, Markdown – Bold and ItalicsĪn ordered list typically is a numbered list of items. The code below shows the syntax and then the rendered output: Markdown – Bold and Italics Else if we want to display the text in Italics, then put the text between the underscores(_).
If we want to display the text in bold, put the text between two asterisks(*) each side. Jupyter provides support for text appearance too. The rendered output is, Markdown – Heading The code below shows the syntax and then the rendered output: Markdown – Heading To decrease the size of the heading start incrementing the number of #. This will make the heading of level 1 – The biggest. The markdown cell in Jupyter Notebook can display six levels of heading.įor making a heading, start the syntax with # followed by a space and then the text. This way the cell will get converted from Code to Markdown.Īfter converting the cell to Markdown, refer the guide below. There's also a shortcut– Select the cell, press ESC (escape key) and enter the command mode, then press M. Select the cell you want to convert, and then: Select Cell from the top navigation > Cell Type > Markdown. Here’s how you can change a cell type to Markdown: Selecting cell type – Markdown By default, a cell is of Code type where you can write all your codes. We will discuss only about Markdown in this article. There are three type of cells – Code, Markdown and Raw NBConvert.
You might already know that in the Jupyter notebooks you write the codes have block-like structure often known as Cells. Beautiful plots in notebooks are great, but it is even better to have beautiful exploratory texts. Remember to add graphs and plots but also don’t forget the markdowns. Markdowns in Jupyter notebooks beautify them and also improves the readability of the code. It makes a huge difference if you present your data science work with clean code, amazing graphs and Markdowns(WoW) !!! We often get so indulge in getting things done that we forget about the representation.
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