In this post we are going to explain an extremely simple approach to set up your own Jupyter environment compatible with Kotlin language without having to install anything but only one tool on your laptop: Docker. Nevertheless, most of these approaches are Python oriented, which means that if you want to use Jupyter with any other language (like Kotlin, Scala or Java) you will have to install additional “ kernels”. There are plenty of ways to install Jupyter on your local environment ( pip, Anaconda,…) or even working directly on cloud powered notebook environments (like Google Colab).
However, the rise of web based development environments as well as the growing interest on data science disciplines (like exploratory data analysis, machine learning or deep learning among others), has appointed, notebooks in general and Jupyter notebooks in particular, as the preferred tool for scientists and researchers all around the world.
Notebooks are used for a wide variety of purposes, including data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning and much more.Ĭomputational notebooks are not something new and they have been around for quite some time. Jupyter + kotlin kernel sample (Image by Author)Ĭomputational Notebooks or simply Notebooks are a flexible and interactive tool that allows scientists to combine software code, computational output and explanatory resources (like text, charts and any other media content) within the same document.
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