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Take a closer look at the intricacies of Jupyter Notebooks.

Button Glossaries:

What is Jupyter Lab?

JupyterLab is an interactive development environment (IDE) for working with notebooks, code, and data. It is an open-source project that provides a flexible and powerful interface for computational workflows, particularly in data science, scientific computing, and machine learning.

Here are some key features and components of JupyterLab:

Notebooks: JupyterLab allows users to create and edit Jupyter notebooks, which are documents that can contain code, text, visualizations, and other rich media. Notebooks support various programming languages, including Python, R, Julia, and more.
Code editor: JupyterLab includes a versatile code editor that supports syntax highlighting, code completion, and other features commonly found in modern IDEs. Users can edit code files directly within JupyterLab, alongside their notebooks.
Extensions: JupyterLab can be extended with a wide range of plugins and extensions, allowing users to customize and enhance their workflow. These extensions can add new functionality, such as additional file viewers, interactive widgets, version control integration, and more.
File browser: JupyterLab provides a file browser interface that allows users to navigate their filesystem, manage files, and organize their project folders.
Terminal: JupyterLab includes a built-in terminal emulator, which enables users to run shell commands and interact with their system's command-line interface from within the IDE.
Interactive widgets: JupyterLab supports interactive widgets that enable users to create rich, interactive user interfaces directly within their notebooks. These widgets can be used to build interactive visualizations, dashboards, and other dynamic content.
Version control integration: JupyterLab integrates with version control systems such as Git, allowing users to manage and track changes to their code and notebooks using familiar version control workflows.

Learn more at: https://jupyter.org/about

Jupyter Cell Types Breakdown

When interacting within Jaxon, you can choose between four different input methods depending on your desired output.

<aside> 💡 Jaxon Tip: You can change the cell type even after hitting return simply by clicking the dropdown at the top of the screen while the cell is highlighted.

</aside>

At the top of your screen you’ll see ‘chat’ with a dropdown arrow. This is where you can select your cell type.

https://lh7-us.googleusercontent.com/V2U_8D5ESnd4sdJ0_BxYEx4lmJ8qDrkCkJJK5ekiH-3qOFv7k_WDdQlYTDtCh1WLvrZ_d-gqmuap3kEtubUjXqJQH8T7D7_wWwsxc7AOZySzxTEQllxexKtxCmL3LUtGZEMNPt9PSIerOEkle4yHKEs

https://lh7-us.googleusercontent.com/obzpicegwjj3QO9ArbBE9lod4tgfab9Y6-3q4fzErszjS64kbqFl7sbb9-IWW4UCPBrsnUktuorG4ccQpeOt-_AMuLeywoZd-TBzjTosD2nv1mFS5Em8jn2KHGqdRZmeBZHB-1uFnaa5J8rqOR0K7NU

There are four options: