Notebook (.ipynb)

Open and run Jupyter notebooks inside IVYX Studio. Edit cells, run your Python code, and watch output appear live — then save back to a standard .ipynb file.

What you can do

• Open .ipynb files as a list of code and Markdown cells, each with its own syntax-highlighted editor.
• Run a cell, run all cells, interrupt a running cell, or restart the kernel.
• Watch output stream in live as a cell runs — stdout and stderr, plus rich results: pandas tables (HTML), matplotlib images (PNG), SVG, JSON, Markdown, and colored tracebacks.
• Copy any output from the button in its top right corner. What lands on the clipboard matches the output: text and tracebacks as plain text, a pandas table as a real table (plus tab separated columns for plain text pastes), a matplotlib figure as an image you can paste straight into a document, an SVG as an image or as source. A cell toolbar button copies all of a cell's output at once.
• Choose which kernel a notebook uses from a Select Kernel picker; the choice is remembered per notebook.
• See the notebook's current variables in a side panel.
• Use Jupyter keyboard shortcuts: Shift+Enter (run and move on), Ctrl/Cmd+Enter (run in place), A / B (insert a cell above / below), DD (delete), M / Y (switch a cell to Markdown / code), and arrows or J / K to move between cells.
• Save with Ctrl/Cmd+S, keeping both your code and its outputs.
• Add the notebook to your pipeline from the toolbar: its code cells become a Python script and that script becomes a stage of whichever pipeline engine your workspace uses.
• Review what an agent wrote: a cell the IVYX agent adds or rewrites is framed and marked with who did it, and you keep it or undo it from the cell itself. Undo puts the notebook back the way it was and the agent hears about it before its next run.

Requirements

A kernel must be available in the Kernels sidebar, pointing at a running Jupyter Server (for example, start one with jupyter server --port 8889). Your Python code runs through that kernel.

Getting started

Open any .ipynb file from the explorer, pick a kernel from the toolbar, and run a cell. When the notebook is doing something you want to keep, press the pipeline button in the toolbar to turn it into a stage you can rerun.