If you’re familiar with Jupyter Notebook, you might be wondering what JupyterLab is and how it differs from the well-known notebook interface. In this blog post, we’ll explore the key differences between these two popular options for working with data in Python.
Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents. It provides an integrated development environment (IDE) for data scientists, combining code, text, and rich media in a single document.
JupyterLab is the next-generation user interface for Project Jupyter. It offers all of the features of the classic Jupyter Notebook while providing a more robust, flexible, and extensible experience.
Here are some of the key differences between Jupyter Notebook and JupyterLab:
- JupyterLab has a more modern user interface than Jupyter Notebook.
- JupyterLab allows you to work with multiple notebooks at once, whereas Jupyter Notebook only allows you to work with one notebook at a time.
- JupyterLab enables you to customize your own keyboard shortcuts, whereas in Jupyter Notebook you have to use predefined keyboard shortcuts.
- JupyterLab supports hundreds of different file formats, whereas Jupyter Notebook only supports a few file formats.
- JupyterLab is extensible, meaning that it can be used to create custom plugins or integrations.
- JupyerNotebook is not extensible.
Conclusion: Both JupyerNotebook and Juypterlab have their pros and cons, but ultimately it comes down to personal preference. If you’re looking for a more modern user interface or greater flexibility and customization options, then Juypterlab is probably the better option for you. However, if you’re looking for a simpler interface or one that supports fewer file formats, then stick with Juypternoteook.