In such cases, however, the project will be checked for changes and recompiled if necessary before the execution of each cell. It is possible to use classes and other entities from the project itself within the notebook.You can utilize the dependencies of your project, ensuring that the notebook has access to the same classes.Obviously the standard library can be used out of the box, but it is often insufficient. It is also important to consider what dependencies your notebook will have. Error and traceback: When code contains errors, notebooks display an error message and a traceback, providing insights for debugging.LaTeX: Mathematical formulas and equations can be beautifully rendered using LaTeX, a typesetting system widely used in academia.Rich text: Markdown cells produce rich text HTML output, offering support for lists, font styles, code blocks, and more.All these images can be images from files, generated graphs, or any other visual media. Results of the BufferedImage type are also supported. Image: Static images can be displayed in formats such as PNG, JPEG, and SVG.HTML: Jupyter notebooks can render HTML directly, enabling rich text formatting, the use of tables, or even the embedding of websites.If a cell’s result doesn’t fall under one of the categories below, it will be printed as text via the toString() method. Text: This is the simplest type of output, and it includes printed statements, variable values, or any text-based output from your code.One key feature that makes notebooks stand out is the variety of output types they support: It demonstrates all the aspects of Kotlin notebooks discussed in this blog post, allowing you to pair theory with practice.Ī notebook is the best way to get familiar with notebooks! -) Outputs To experience firsthand the advantages of using notebooks for code explanation and documentation, we encourage you to download and explor this notebook. This makes it easy to experiment, prototype, and document your work. You can execute cells in any order, modify the code or text, declare and re-declare variables, and re-run the cells to see the updated results. Notebooks provide an interactive and iterative workflow. To render a Markdown cell and see the formatted text, you just have to run it in the same way you run a code cell. You can also write text in Markdown cells, which support rich formatting options such as headers, lists, links, LaTeX and images. The code will be executed, and any output or errors will be displayed below the cell. To run a code cell, you can simply select it and then click the Run button or use the Shift + Enter shortcut. Cells are the main building blocks of notebooks, and they can contain either code or text. Once created, the notebook contains only the first empty cell. Internally, Kotlin notebooks follow the same structure, format, and protocol, meaning these files can be viewed on GitHub or in Jupyter notebooks or JupyterLab with the Kotlin kernel installed. If you are already acquainted with Jupyter notebooks, this extension should be quite familiar to you. Essentially, a notebook is just a file on a disk, so it can be created anywhere in the Project view by using the New | Kotlin Notebook action.Ī file with an. Getting familiar with Kotlin NotebookĪfter installing the plugin, you’ll be ready to create your first notebook. Note that the Kotlin Notebook plugin currently works only in IntelliJ IDEA Ultimate. We plan to remove these dependencies soon. Kotlin Notebook simply has some dependencies on UI components that are located in the Python plugin. Don’t worry, this will not install Python on your workstation. You may also be able to install the plugin on previous versions, but it will be unstable.ĭuring the installation process, you will see a suggestion to install the Python plugin, which you should accept. You should be using at least version 2023.1.2 of IntelliJ IDEA. To get the plugin, you simply need to install it from Marketplace in IntelliJ IDEA Ultimate’s Settings | Plugins tab. Let’s dive into technical details to see what this plugin can do and how it works. The Kotlin Notebook plugin brings the power of interactive development to IntelliJ IDEA, supplementing the full power of the IDE’s language support for Kotlin combined with the versatile visualization capabilities of browsers. Notebooks are already widely adopted and trusted for rapid prototyping, analytics, and data science. In notebooks, you can write and run code snippets (cells), view the results, and document your thought process all in one place. A notebook is an interactive tool that allows you to combine code, visualizations, and text in a single document.
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