Lecture Note
University
University of California San DiegoCourse
DSC 207R | Python for Data SciencePages
2
Academic year
2023
anon
Views
20
Live Code, Documenting Analysis withMarkdown Text We will now continue from where we left last video by working with yet another cell type called markdown cells. Markdown cells are a very helpful tool for scientific research and data analysis. They give our work more structure and clarity by enabling us to write and format content inside Jupyternotebooks. Markdown cells are a useful and crucial component of Jupyter notebooks sincethey allow us to quickly and easily write headings, lists, and even equations. We must first open a new cell in our notebook before we can construct a markdown cell. Using the + toolbar button, which will insert a new cell beneath the one that is presentlyhighlighted, we may accomplish this. Once we've created our new cell, we can switch it frombeing used for code to being used for markdown by selecting "markdown" from thedropdown menu in the notebook's top right corner. We can enter text rather than code in a markdown cell when creating one. This is excellent for explaining our procedures and outcomes clearly and documenting our data analysisprocess. Our text can be organized using headings to make it simple to read andcomprehend. We utilize the hashtag symbol, a space, and the heading's text to constructheadings. To make headlines of various sizes, we can use one, two, or three hashtags. Markdown cells also support bullet lists, which are a great way to list items or concepts. To create a bullet list, we start by typing an asterisk followed by a space. Everything we put afterthe asterisk and space is rendered into a bulleted list. For example, we could create a list offish: -One fish-Two fish-Red fish-Blue fish When we run this code, the list is displayed as a bulleted list in our markdown cell. We can format text using bold, italics, and other styles in Markdown cells as well. We surround text with two asterisks to make it bold. For instance, we would type "example text" ifwe wanted to make the word bold. Similarly, we enclose text with a single asterisk to make ititalic. For instance, we would write "example text" if we wanted to make the text "exampletext" italic. We can also include links in our markdown cells. To create a link, we simply type the URL and Jupyter will automatically format it as a clickable link. For example, if we wanted to
create a link to Google, we would type "http://www.google.com" and Jupyter would format itas a link. One of the most powerful features of markdown cells is their support for LaTeX equations. LaTeX is a document editing language that is widely used in scientific research. With LaTeX,we can create complex equations and mathematical expressions that would be difficult torepresent in plain text. To use LaTeX equations in our markdown cells, we simply surroundthe equation with dollar signs. For example, if we wanted to create the equation for the areaof a circle, we would write "$A = \pi r^2$". Markdown cells enable a broad variety of sophisticated formatting choices in addition to these fundamental ones. In addition to a wide variety of other content kinds, markdown cellsalso support photos, tables, and code blocks. We can develop detailed and richdocumentation for our data analysis pipeline using markdown cells, making it simple to shareour work with others and have them replicate our results. Markdown cells are a crucial tool for anyone using Jupyter notebooks, to sum up. They enable us to give our work more organization and clarity, which makes it simpler to read andcomprehend. We have the ability to present our work whichever best serves us by usingmarkdown cells to generate headlines, bullet lists, equations, and many other sorts ofmaterial.
Documenting Analysis with Markdown Text
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