train a machine learning model in one cell and then inspectĪnd evaluate your model in different cells, all withing the same document.
#Jupyter notebook shortcuts insert cell code#
So if we define a variable a in one cell and inspect the variable of a in another cell (Jupyter automatically prints the output of the last line of code in any cell!), you can see that we do indeed get the correct value for a. Any variables, modules, and everything else that has been loaded or defined globally in this cell, will also be available in every other cell. So what this means is that you can put code in one cell and execute just that one cell. The third reason to consider using Jupyter is that you can split your code into individual cells,Įxecute them separately, but still manage the same global variables. Your notebook more similar to a code-heavy blog-post than a raw code script. This again can make your document a lot more readable and sometimes make Helpful comments, headings, rich descriptions, embedded links, images, math equations, and everything else that MarkdownĪllows you to do. The second reason is that you can combine Markdown text with your code. And even if you do notĬreate any visual plots inside of your notebook, seeing the output of your code is incredibly ThisĬan greatly increase the readability of your code when compared to simple text,īecause as the saying goes, “a picture is worth a thousand words”. Firstly you, and everyone who views your notebookĬan immediately see the result of running your code without having to execute it. The first reason to use Jupyter is that you can dynamically store both code as well as code outputs and visualizations in Jupyter.Įven if we close Jupyter and reopen it, this exemplary plot will still remain in the notebook. Otherwise, I would highly recommend you give it a try! (Maybe it is even integrated in your favorite IDE?) If none of these reasons sound appealing to you, then Jupyter might not be for you. I am going to provide you with a few quick reasons as to why you might at least consider Jupyter. If you are used to your text editor or IDE of choice you might ask yourself why you should use Jupyter instead of your traditional IDE.
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