If you have a piece of code and you want to explain line-by-line how it works, with live feedback all along the way, you could embed it in a Jupyter Notebook. Notebooks can also embed user controls (e.g., sliders or text input fields) that can be used as input sources for code. Live interactions with code. Jupyter Notebook code isn’t static it can be edited and re-run incrementally in real time, with feedback provided directly in the browser.With a Jupyter Notebook, you can view code, execute it, and display the results directly in your web browser. Code sharing. Cloud services like GitHub and Pastebin provide ways to share code, but they’re largely non-interactive.Jupyter Notebook lets you author visualizations, but also share them and allow interactive changes to the shared code and data set. Data visualizations. Most people have their first exposure to Jupyter Notebook by way of a data visualization, a shared notebook that includes a rendering of some data set as a graphic.Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Altering the code and re-running it live in the browser will change the output, and the new results can be saved to a new notebook. IDGĪ Jupyter Notebook with text, code, and a visualization. And because Jupyter Notebook runs via a web browser, the notebook itself could be hosted on your local machine or on a remote server.
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