JupyterLab

¿Qué es JupyterLab?

JupyterLab evolved from the original Jupyter Notebook project, which started in 2014 as a successor to IPython. Over the years it has grown into a modular, extensible platform that supports notebooks, terminals, text editors, and data viewers, all within a single browser tab.

The target users are data scientists, researchers, and educators who need to mix code, Markdown, and visual output in one place. It works on any OS that can run a web browser, and its Python‑based kernel ecosystem makes it compatible with R, Julia, and many other languages.

Compared to Windows tools like RStudio, JupyterLab feels more lightweight and browser‑centric. It lacks some of RStudio’s integrated debugging panels, but offers a highly customizable interface and the ability to run multiple kernels side by side, which many users find more flexible for exploratory work.

Ideal para: Researchers and students who need a flexible, language‑agnostic notebook environment that runs on any OS.

Funciones clave de JupyterLab

• Web‑based interface accessible via any modern browser
• Supports multiple kernels (Python, R, Julia, etc.)
• Built‑in terminal and file browser
• Extensible via plugins (e.g., Git, LaTeX, data viewers)
• Rich output rendering (plots, tables, widgets)
• Keyboard shortcuts for notebook navigation
• Integrated code completion and linting

Consejos para usuarios de Windows

If you’re moving from RStudio, remember that JupyterLab uses .ipynb files instead of .Rproj. Most R code runs in a Python kernel via the rpy2 package, but you can also use an R kernel directly. Keyboard shortcuts differ: for example, Ctrl+Enter runs a cell, Shift+Enter runs and moves to the next. The file browser in JupyterLab replaces RStudio’s Projects pane, and you’ll need to install the R kernel with install.packages('IRkernel') and run IRkernel::installspec() to use R notebooks.