![]() Here’s where you can explain and document the processes. Markdown Cells allows you to write and render Markdown syntax. Recall that a Jupyter Notebook is a series of cells that can store text or code. It is simple to use and helps you to create and share documents that include code, visualizations, and narration. You don’t need to preface it or delimit it to indicate that you are switching from Markdown to HTML - you just use the tags.Īmong the data enthusiasts, Jupyter notebook is in trend. You simply use HTML for any Markup that is not covered by the Markdown syntax. Therefore, the formatting syntax of Markdown tackles just issues that can be expressed in plain text. HTML is a format for publishing, while Markdown is a format for reading. Markdown’s idea is to make reading, writing, and editing prose easy without the intention to create a syntax that’s just for quickly adding HTML tags. ![]() ![]() Its syntax is minimal, correlating only to a tiny proportion of HTML tags. Nevertheless, Markdown is not a substitute for, or even close to, HTML. Readability, however, is emphasized above all else. John Gruber developed the Markdown language in 2004 in a collaborative effort with Aaron Swartz, intending to enable people to “write with easy-to-read and easy-to-write plain text format and potentially convert it to structurally correct XHTML (or HTML).” Markdown is designed to be as easy-to-read and easy-to-write as possible. Markdown is a lightweight Markup language with a plain text syntax. Markdown writing skills are essential to portray your work in the Jupyter notebook to offer the reader a sufficient explanation of both the code and the concept. You may have heard the above proverb, but if not, then well, I have just made it up! But it does hold some weight, especially given that if you have glanced at notebooks published by others, you might also have noticed that the authors have helpfully described their code by incorporating text, links, and images between code cells. ![]() All code and no heading makes Jupyter a dull read. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |