![]() ![]() On the other hand, Jupyter Notebook is a REPL-like environment that fuses code, data, and documentation. ![]() However, I’ll focus solely on Python in this article. ![]() JupyterLab supports over 40 programming languages like Java, Scala, Julia, and R. It’s also extensible: everyone can write plugins that add new components and integrate with existing ones. JupyterLab is flexible: you can configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. In addition, it allows you to open a Python terminal, as most IDEs do, to experiment and tinker. It’s most well known for offering a so-called notebook called Jupyter Notebook, but you can also use it to create and edit other files, like code, text files, and markdown files. JupyterLab is a web-based, interactive development environment.
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