Jupyter Notebook Markdown

Learning Objectives

1. Jupyter Notebook Markdown Language
2. Jupyter Notebook Markdown New Line
3. Jupyter Notebook Markdown Open Bracket
4. Jupyter Notebook Markdown Font Size
5. Jupyter Notebook Markdown New Line
6. Jupyter Notebook Markdown Image

After completing this page, you will be able to:

• Create new Code and Markdown cells within Jupyter Notebook.
• Run Code and Markdown cells within Jupyter Notebook to execute Python code and render Markdown text.
• List useful shortcuts for common tasks in Jupyter Notebook.

Dec 09, 2017 explanatory text (written in markdown syntax) Jupyter Notebook is great for the following use cases: learn and try out Python; data processing / transformation; numeric simulation; statistical. Feb 05, 2019 Prerequisite: Getting started with Jupyter Notebook. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. What makes data analysis in Python more efficient and productive is Jupyter notebook or formerly known as the IPython notebook.

Work With Python Code and Markdown Cells in Jupyter Notebook

Recall that a Jupyter Notebook file consists of a set of cells that can store text or code.

• Text Cells: Text cells allow you to write and render Markdown syntax. This is where you can describe and document your workflow.
• Code Cells: Code cells allow you to write and run programming code (e.g. Python).

Create New Cells

You can use either the Menu tools or Keyboard Shortcuts to create new cells.

Jupyter Notebook Markdown Language

While the default cell type for new cells is Code, you can change the cell type of any existing cell by clicking in the cell and selecting a new cell type (e.g. Markdown) in the cell type menu in the toolbar.

Cell type options include Code, Markdown, Raw NBConvert (for text to remain unmodified by nbconvert), and Heading.

To use the Keyboard Shortcuts, hit the esc key. After that, you can change a cell to Markdown by hitting the m key, or you can change a cell to Code by hitting the y key.

Jupyter Notebook Markdown New Line

Run Cells

Jupyter Notebook Markdown Open Bracket

Python Code Cells

You can run any cell in Jupyter Notebook (regardless of whether it contains Code or Markdown) using the Menu tools or Keyboard Shortcuts.

For example, you can add a new Code cell and then run the following Python code (e.g. 3 + 4). Your result, or output, will be displayed below the Code cell that you run.

Markdown Cells

You can run Markdown cells in the same way that you can run code cells. However, when you run a Markdown cell, the text formatted using Markdown syntax will be rendered as stylized text.

This means that headings are larger and bold, bulleted lists have bullets next to them instead of *, and regular text looks normal. No outputs will appear below the Markdown cell.

For example, the Markdown syntax below represents 3 headers. You can double-click in any Markdown cell to see the raw Markdown syntax, which for the cell below would appear like this raw Markdown syntax:

To see the Markdown as stylized text, run the cell. It should look like the text printed below:

Jupyter Notebook Markdown Font Size

This is a subtitle in Markdown

This is a smaller subtitle

This is an even smaller subtitle

Rearrange Cells in a Jupyter Notebook

You can change the order of cells within Jupyter Notebook using the up arrow and down arrow buttons on the menu bar. To do this, click inside the cell that you want to move and then press the desired arrow as many times as you need to move the Cell to the desired location.

Clear Results in Jupyter Notebook

Sometimes, you may want to clear any output results that have been produced. You can do this using the Menu:

Jupyter Notebook Markdown New Line

This will clear the current cell that you are working in, which you can activate by clicking in a cell.

Jupyter Notebook Markdown Image

You can also clear all of the output using the Menu Tools.