• Jupyter Notebook Change Markdown Font
• Jupyter Notebook Markdown Font Color
• Jupyter Notebook Code Font
• Jupyter Markdown Font Size
• Jupyter Notebook Output Font

Working with Jupyter Notebooks in Visual Studio Code. Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook.Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files.This topic covers the native support available for Jupyter. It is ideal (but not required) to launch Jupyter Notebook from the working directory where all of the notebook files that you wish to. Code and Markdown.

Learning Objectives

• Explain what the Markdown format is.
• Describe the role of Markdown for documentation of earth data science workflows.
• Use Markdown syntax in Jupyter Notebook to:
  • Create headers and lists
  • Bold and italicize bold text
  • Render images and create hyperlinks to web pages

Jupyter Notebook font size names and its option names. If you want to change the text cell font and font size you can type the following in a cell and hit shift+enter.!jt -t oceans16 -tf merriserif -tfs 14 -nf ptsans -nfs 14 Don’t forget to refresh your browser for the change to take place. Font size of codeblocks of jupyterlab is inconsistent with jupyter notebook. In jupyter notebook the font size of codeblock matched the title size, however jupyterlab does not. Here's the following markdown rendered in both jupyterlab and jupyter notebook. Python Jupiter Notebook Markdown. Markdown is useful when explaining the code. If you want to apply a markdown, click Cell Cell Type Markdown. They are so many steps, so let’s memorize shortcuts. In command mode, pressing ‘m’ will change it to the markdown mode. If you want to enter the code again, press ‘y’.

What is Markdown?

Markdown is a human readable syntax (also referred to as a markup language) for formatting text documents. Markdown can be used to produce nicely formatted documents including PDFs and web pages.

When you format text using Markdown in a document, it is similar to using the format tools (e.g. bold, heading 1, heading 2) in a word processing tool like Microsoft Word or Google Docs. However, instead of using buttons to apply formatting, you use syntax such as **this syntax bolds text in markdown** or # Here is a heading.

Markdown syntax allows you to format text in many ways, such as making headings, bolding and italicizing words, creating bulleted lists, adding links, formatting mathematical symbols and making tables. These options allow you to format text in visually appealing and organized ways to present your ideas.

You can use Markdown to format text in many different tools including GitHub.com, R using RMarkdown, and Jupyter Notebook, which you will learn more about this page.

Data Tip: Learn more about how you can use Markdown to format text and document workflows in a variety of tools.

Markdown in Jupyter Notebook

A great benefit of Jupyter Notebook is that it allows you to combine both code (e.g. Python) and Markdown in one document, so that you can easily document your workflows.

A Jupyter Notebook file uses cells to organize content, and it can contain both cells that render text written using the Markdown syntax as well as cells that contain and run Python code.

Thus, you can use a combination of Markdown and Python code cells to organize and document your Jupyter Notebook for others to easily read and follow your workflow.

Data Tip: Learn more about Markdown for Jupyter Notebook.

If you render your Jupyter Notebook file to HTML or PDF, this Markdown will appear as formatted text in the output document.

Data Tip: In fact, this web page that you are reading right now is generated from a Markdown document! On this page, you will learn the basic syntax of Markdown.

Benefits of Markdown for Earth Data Science

Being able to include both Markdown and code (e.g. Python) cells in a Jupyter Notebook file supports reproducible science by allowing you to:

• Document your workflow: You can add text to the document that describes the steps of your processing workflow (e.g. how data is being processed and what results are produced).
• Describe your data: You can describe the data that you are using (e.g. source, pre-processing, metadata).
• Interpret code outputs: You can add some text that interprets or discusses the outputs.

all in one document!

When used effectively, Markdown documentation can help anyone who opens your Jupyter Notebook to follow, understand and even reproduce your workflow.

Format Text in Jupyter Notebook with Markdown

Markdown Cells in Jupyter Notebook

In the previous chapter on Jupyter Notebook, you learned how to add new Markdown cells to your Jupyter Notebook files using Menu tools and Keyboard Shortcuts to create new cells.

Function	Keyboard Shortcut	Menu Tools
Create new cell	Esc + a (above), Esc + b (below)	Insert→ Insert Cell Above OR Insert → Insert Cell Below
Copy Cell	c	Copy Key
Paste Cell	v	Paste Key

You also learned how to change the default type of the cell by clicking in the cell and selecting a new cell type (e.g. Markdown) in the cell type menu in the toolbar. Furthermore, you learned that in a Jupyter Notebook file, you can double-click in any Markdown cell to see the syntax, and then run the cell again to see the Markdown formatting.

Note: if you type text in a Markdown cell with no additional syntax, the text will appear as regular paragraph text. You can add additional syntax to that text to format it in different ways.

On this page, you will learn basic Markdown syntax that you can use to format text in Jupyter Notebook files.

Section Headers

You can create a heading using the pound (#) sign. For the headers to render properly, there must be a space between the # and the header text.

Heading one is denoted using one # sign, heading two is denoted using two ## signs, etc, as follows:

Here is a sample of the rendered Markdown:

Heading Three

Heading Four

Note: the titles on this page are actually formatted using Markdown (e.g. the words Section Headers above are formatted as a heading two).

Lists

You can also use Markdown to create lists using the following syntax:

It will render as follows:

• This is a bullet list
• This is a bullet list
• This is a bullet list

1. And you can also create ordered lists
2. by using numbers
3. and listing new items in the lists
4. on their own lines

Notice that you have space between the * or 1. and the text. The space triggers the action to create the list using Markdown.

Bold and Italicize

You can also use ** to bold or * to italicize words. To bold and italicize words, the symbols have to be touching the word and have to be repeated before and after the word using the following syntax:

It will render as follows:

These are italicized words, not a bullet listThese are bold words, not a bullet list

• This is a bullet item with bold words
• This is a bullet item with italicized words

Highlight Code

If you want to highlight a function or some code within a plain text paragraph, you can use one backtick on each side of the text like this:

which renders like this:

Here is some code!

The symbol used is the backtick, or grave; not an apostrophe (on most US keyboards, it is on the same key as the tilde (~)).

Horizontal Lines (Rules)

You can also create a horizontal line or rule to highlight a block of Markdown syntax (similar to the highlighting a block of code using the backticks):

which renders like this:

Here is some important text!

Hyperlinks

You can also use HTML in Markdown cells to create hyperlinks to websites using the following syntax:

<a href='url' target='_blank'>hyperlinked words</a>

You can identify the words that will be hyperlinked (i.e. prompt a web page to open when clicked) by replacing hyperlinked words in the example above.

For example, the following syntax:

Our program website can be found at <a href='http://earthdatascience.org' target='_blank'>this link</a>.

will render as follows with this link as the hyperlinked words:

Our program website can be found at this link.

Render Images

You can also use Markdown to link to images on the web using the following syntax:

![alt text here](url-to-image-here)

The alt text is the alternative text that appears if an image fails to load on webpage; it is also used by screen-reading tools to identify the image to users of the screen-reading tools.

For example, the following syntax:

![Markdown Logo is here.](https://www.fullstackpython.com/img/logos/markdown.png)

will render as follows with an alt text of Markdown Logo is here.:

Local Images Using Relative Computer Paths

You can also add images to a Markdown cell using relative paths to files in your directory structure using:

![alt text here](path-to-image-here)

For relative paths (images stored on your computer) to work in Jupyter Notebook, you need to place the image in a location on your computer that is RELATIVE to your .ipynb file. This is where good file management becomes extremely important.

For a simple example of using relative paths, imagine that you have a subdirectory named images in your earth-analytics directory (i.e. earth-analytics/images/).

If your Jupyter Notebook file (.ipynb) is located in root of this directory (i.e. earth-analytics/notebook.ipynb), and all images that you want to include in your report are located in the images subdirectory (i.e. earth-analytics/images/), then the path that you would use for each image is:

images/image-name.png

If all of your images are in the images subdirectory, then you will be able to easily find them. This also follows good file management practices because all of the images that you use in your report are contained within your project directory.

Data tip: There are many free Markdown editors out there! The atom.io editor is a powerful text editor package by GitHub, that also has a Markdown renderer that allows you to preview the rendered Markdown as you write.

Additional Resources

Practice Your Markdown Skills

1. Open or create a new Jupyter Notebook file.

2. Add a new Markdown cell and include:
   • A title for the notebook (e.g. Intro to Earth Analytics - Chapter Four)
   • A bullet list with:
     • A bold word for Author: and then add text for your name.
     • A bold word for Date: and then add text for today’s date.
3. Add another Markdown cell and include:
   • A list of your top three favorite foods (e.g. blueberries, chocolate bars, avocados).
     • Italicize the first item in your list.
     • Add a hyperlink (i.e. webpages) for the second item in your list (include the name of the food in the title of the hyperlink).
     • Add an image for the last item in your list (include the name in the alt text of the image).

Set up your project

1. In PyCharm, create a new Python project or.

2. Install the jupyter package for the selected interpreter.

3. When all the indexing processes are finished, you are ready to start working with the notebook files.

To open an existing .ipynb file, follow the same steps as for the files of the other types. If needed, you can create a notebook file.

Create a notebook file

Jupyter Notebook Change Markdown Font

1. Do one of the following:

   • Right-click the target directory in the ProjectWorkspace tool window, and select New from the context menu.

   • Press Alt+Insert

2. Select Jupyter Notebook.

3. In the dialog that opens, type a filename.

A notebook document has the *.ipynb extension and is marked with the corresponding icon: .

Switch between the available editing modes by using the corresponding icons.

Edit source code in the notebook

You can add Markdown, raw, and code cells to the notebook file.

1. Use one of the following ways to add a new cell:

   • Click the icon in the lowest line in the gutter. Select a cell type to add.

   • Type the corresponding comment:

     Comment	Cell type
     #%% md	Markdown markup language.
     #%%	Python code fragment
     #%% raw	“Raw NBConvert” cell type.

   • For code cells, press Alt + Shift + A (Windows) or ⌥ ⇧ A (macOS) to insert a new cell above the currently selected cell, or Alt + Shift + B (Windows) or ⌥ ⇧ B (macOS) to create a new cell below the selected cell.

2. Add appropriate content to the newly created cell. Once a Markdown or raw cell is added, its output appears in the Preview pane. To preview the results produced by a code cell you need to execute it first.

   Use the icon to control visibility of the source code preview.

You can apply various editing actions to one cell or to the entire notebook. Press the Ctrl+A once to select a cell at caret, and press Ctrl+A twice to select all cells in the notebook.

When editing notebook files, mind that PyCharm updates the source code and preview of the notebook if it has been changed externally.

Use code assistance

You can edit code cells with the help of Python code insights, such as syntax highlighting, code completion, and so on.

Jupyter Notebook Markdown Font Color

• PyCharm enables code completion for the names of classes, functions, and variables. Start typing the name of the code construct, and the suggestion list appears.

• Runtime completion retrieves information from the Jupyter kernel during cell execution. You can start typing the name of the data element, and the kernel prompts the list of the suggestions.

• Intention actions and quick fixes. You can add the missing imports on-the-fly by using the intention actions.

Jupyter Notebook Code Font

Configure the source editor

Jupyter Markdown Font Size

1. Set up cell separators.

   By default, all cells are separated by lines. To alter this formatting, open project Settings/PreferencesCtrl+Alt+S, select Build, Execution, Deployment | Jupyter dialog, and deselect the Show Cell Line Separators in the Editor checkbox.

2. Set up the number of virtual lines in code and Markdown cells.

   When you create new code or Markdown cells, PyCharm adds opening and closing virtual lines that are not part of the cell content, are not displayed in the Preview area, and are not saved in the notebook file. By default, PyCharm adds one line before the actual content and one line after it. To change this behavior, open Settings/PreferencesCtrl+Alt+S, select Build, Execution, Deployment | Jupyter dialog, and modify the value of the Number of Virtual Lines in Code Call Start/End input stepper.

Configure the notebook preview area

Jupyter Notebook Output Font

• Manage the font size.

  By default, the output content in the Preview area is displayed using the editor font size. To alter this value and set any specific font size, open Settings/PreferencesCtrl+Alt+S, select Build, Execution, Deployment | Jupyter dialog, deselect Use Font Editor Size, and choose the required size in the Font Size field.