Connecting to a Jupyter server

Documentation in progress

More guides coming soon. This how-to will cover the kernel-selection flow, connecting to remote Jupyter servers, and switching between a vanilla kernel and MathJet’s own kernel for upgrade behavior.

What this guide will cover

• Opening an existing .ipynb file in MathJet
• Choosing between a standard Jupyter / IPython kernel and MathJet’s own kernel
• Connecting to a remote Jupyter server (URL + token)
• What you gain by switching to MathJet’s kernel: live variable inspection without print(), editable spreadsheet view of any DataFrame, interactive plots from matplotlib calls
• What stays identical: the notebook file format, your pip packages, the cell execution model

The short version: File → Open an .ipynb and it runs. The kernel picker offers both the standard Jupyter / IPython kernel and MathJet’s own. Pick MathJet’s kernel for the upgraded experience; pick the standard one for byte-identical behavior with vanilla Jupyter.