Jupyter Notebook — Iterative Python via live Jupyter kernel (hamelnb)
Jupyter Notebook — Iterative Python via live Jupyter kernel (hamelnb)
Start with meaning, then move to detail.
This lesson explains Jupyter Notebook — Iterative Python via live Jupyter kernel (hamelnb) as part of getting started with Hermes correctly. You will learn what it does, when it matters, and the smallest safe test that proves it works.
If you are new, do not memorize names. Focus on three questions: what problem does this solve, what access does it need, and how can you verify the result?
For practice, inspect the first example, identify its effects, run it on test data, and compare the result with the source claim.
For advanced readers, inspect Skill metadata, Reference: full SKILL.md, When to Use This vs Other Tools, then verify failure modes and version compatibility.
No prior experience is required; follow the steps on a safe test setup first.
A clear outcome before you read.
- Understand Jupyter Notebook — Iterative Python via live Jupyter kernel (hamelnb) without assumed prior knowledge.
- Separate the source description from what still needs testing in your environment.
- Read the first command and identify its inputs and outputs before copying it.
Short definitions before the details.
- Skill
- An instruction bundle that teaches Hermes a repeatable workflow without necessarily adding an external service.
- Tool
- A structured action the agent can call to read or change something.
Iterative Python via live Jupyter kernel (hamelnb)
What does the source say, and in what order?
- 01Skill metadata
Start here to understand the core idea or structure.
- 02Reference: full SKILL.md
Read this after the foundation, then connect it to the previous step.
- 03When to Use This vs Other Tools
Read this after the foundation, then connect it to the previous step.
- 04Prerequisites
Read this after the foundation, then connect it to the previous step.
- 05Setup
Read this after the foundation, then connect it to the previous step.
- 06Starting JupyterLab
Read this after the foundation, then connect it to the previous step.
- 07Creating a Notebook for REPL Use
Read this after the foundation, then connect it to the previous step.
- 08Core Workflow
Read this after the foundation, then connect it to the previous step.
- 091. Discover servers and notebooks
Read this after the foundation, then connect it to the previous step.
- 102. Execute code (primary operation)
Finish here to verify the result and special cases.
Copy only after you understand the effect.
SCRIPT="$HOME/.agent-skills/hamelnb/skills/jupyter-live-kernel/scripts/jupyter_live_kernel.py"git clone https://github.com/hamelsmu/hamelnb.git ~/.agent-skills/hamelnbuv run "$SCRIPT" serversRead the first command and identify its inputs and outputs before copying it.
Match every command to your installed Hermes version, review the files and accounts it can reach, and use non-sensitive data for the first test. If this explanation differs from the source, the official source wins.