RS Python proposes JupyterLab as virtual environment to build and start your custom processing chain.

With JupyterLab you will have:

  1. Unified Environment:
    • JupyterLab combines various tools into a single interface. It integrates classic notebooks, a text editor, a terminal, and a directory viewer, making it a unified experience for data scientists.
    • You’ll no longer feel like you’re working with separate software; everything is conveniently accessible in one place.
  2. Flexible Layouts:
    • JupyterLab offers flexible layouts, allowing you to organize your workspace as you prefer. You can drag and drop tabs, resize them, and arrange them to suit your needs.
    • This feature enables efficient multitasking, especially when working with multiple notebooks or files simultaneously.
  3. Support for Various File Formats:
    • In addition to notebooks, JupyterLab supports other file formats like JPEG, PDF, and CSV. You can view and work with these files directly within the interface.
    • Having everything under one roof streamlines your workflow and saves time.
  4. Collapsible Left Sidebar:
    • JupyterLab’s collapsible left sidebar contains commonly used tabs, such as the file browser, running kernels, and a command palette.
    • This sidebar enhances efficiency by providing quick access to essential features².

You can build or start already made Prefect worflows from rs-client libraries. The rs-client python libraries and some examples are provided to ease the use of RS Python.