- Add an appropriate
doctype
tag at the top of an HTML file. - Enclose the HTML contents of a site inside
html
tags. - Structure an HTML document with
head
andbody
tags. - Add
title
tags to give the page a title that will show up in the browser tab.
Open index.html
in your text editor. Add a doctype
tag at the top of the
file indicating that the rest of the file will be HTML code. Then create
opening and closing html
tags to enclose the remainder of your page's
content. Add opening and closing head
and body
tags within the outer
html
tags to break your HTML document up into two sections. Remember, the
head
section generally contains data intended for the web browser, and the
body
section contains the content our users will see and interact with on the
page.
You can run the tests with this lab via learn
. Make sure you save the file
before running the test suite. Failing tests will provide helpful error
messages that you can use to debug your code — read them closely for hints!
While working through these assignments, your general workflow should center on writing code in the text editor and periodically running the test suite in the terminal to check your work.
Another great way to track your progress is to open up the HTML document in your browser and watch how each change you make in the text editor affects the visual layout in the browser. If you're using a local development environment, you can open the HTML file directly in your browser. If you're coding in the Learn IDE, check out this Help Center article that explains how to spin up and connect to a simple remote server.
Once you have the HTML document open in your browser, you can make changes to it in the text editor, save the file, refresh the page in the browser, and see the changes instantly.
Please open a GitHub issue or pull-request. Provide a detailed description that explains the issue you have found or the change you are proposing. Then "@" mention your instructor on the issue or pull-request, and send them a link via Connect.
PHRG Well-Formed HTML Document Lab