This guide demonstrates how to install, execute, and update JupyterLab on Red Hat Enterprise Linux ( RHEL), CentOS Stream, or Fedora. The notebooks are a solution for running organized code snippets (or cells) that operate independently of each other and whose output appears directly below the cell. JupyterLab provides an environment for developers to create Jupyter Notebooks and scripts. However, if the code was not neatly organized into functions, the data scientist ran the whole script and watched helplessly as multiple plots were generated onscreen.Įnter JupyterLab, a server-client application for interactive coding in Python, Julia, R, and more. Perhaps one function in the script was responsible for pumping out descriptive statistics on a data set, while another performed different transformations and plotted the new distribution.Įvery time someone wanted a specific plot or statistic, the data scientist ran the entire script and modified function calls as needed. How well do you know Linux? Take a quiz and get a badgeīefore Jupyter Notebooks, data scientists wrote long (usually messy) scripts specifically for data exploration and transformation.Linux system administration skills assessment.
A guide to installing applications on Linux.Download RHEL 9 at no charge through the Red Hat Developer program.
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