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jupyter-live-kernel

Run a stateful Python REPL through a live Jupyter kernel.

1|Updated Mar 22, 2026
Search Tags:#python#repl#exploration#jupyter#stateful#data-science#notebook
One-click install
npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill jupyter-live-kernel-nelohenriq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jupyter-live-kernel
Source: https://github.com/nelohenriq/hermes-agent-plus/tree/main/skills/data-science/jupyter-live-kernel
Command: npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill jupyter-live-kernel-nelohenriq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stateful Python REPL and live Jupyter kernel that preserves variables across executions, enabling iterative exploration without restarting sessions.

Core Features & Use Cases

  • Stateful execution: variables persist across runs to build on previous results.
  • Interactive exploration: run APIs, inspect data structures and iterate on complex code with immediate feedback.
  • Suitable for data science, machine learning experimentation, API exploration, and exploratory coding workflows.

Quick Start

Start a live Jupyter kernel session using the hamelnb script and begin executing Python code to interact with a persistent notebook.

Frequently Asked Questions about jupyter-live-kernel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep Python variables persistent across executions in a Jupyter notebook?▼

A stateful Python REPL with a live Jupyter kernel keeps Python variables persistent across executions. This preserves your session state, enabling iterative data science exploration without restarting.

What is a stateful Python REPL used for in data science workflows?▼

A stateful Python REPL is used for interactive data science workflows, machine learning experimentation, and API exploration. It allows you to inspect data structures and iterate on complex code with immediate feedback.

How do I start a live Jupyter kernel session for stateful Python execution?▼

To start a live Jupyter kernel session for stateful Python execution, use the hamelnb script to manage sessions. This initiates the server and creates a notebook for running persistent Python code.

Do I need uv and JupyterLab to run a stateful Python REPL?▼

Yes, you need uv and JupyterLab to run a stateful Python REPL with a live Jupyter kernel. These dependencies provide the environment required to manage sessions and execute stateful code.

Can I use a live Jupyter kernel for stepwise debugging and API exploration?▼

Yes, you can use a live Jupyter kernel for stepwise debugging and API exploration. The stateful environment preserves variables across runs, allowing stepwise refinement and immediate feedback on complex code.

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