golden-jupyter-topics

Files (6)

• SKILL.md
• index.md · references/
• section_s1-s1.md · references/
• section_s2-s2.md · references/
• section_s3-s4.md · references/
• section_s5-s5.md · references/

SKILL.md (first lines)

# Golden_Jupyter_Topics Notebook Skill

Use when testing the golden_jupyter_topics golden build

## 📋 Notebook Information

**Kernel:** Python 3

**Language:** python 3.11.4

## 💡 When to Use This Skill

Use this skill when you need to:
- Understand golden_jupyter_topics concepts and analysis workflow
- Reference code examples and their outputs
- Reproduce data analysis or computation steps
- Review methodology, visualizations, and results
- Find library usage patterns and best practices

## 📖 Section Overview

**Total Sections:** 5

**Content Breakdown:**

- **Data Loading**: 1 sections
- **Evaluation**: 1 sections
- **Setup**: 1 sections
- **Other**: 2 sections

## 🔑 Key Concepts

*Main topics covered in this notebook*

**Major Topics:**

- Getting Started

**Subtopics:**

- Modeling Results

## 📦 Dependencies

*3 package(s) imported*

- `numpy`
- `pandas`
- `sklearn`

## ⚡ Quick Reference

*Common documentation patterns found:*

**Getting Started** (1 sections):
- Getting Started (section 1)

**Modeling** (1 sections):
- Modeling Results (section 5)

## 📝 Code Examples

*High-quality code cells from notebook*

### Bash Examples (1)

**Example 1** (Quality: 5.0/10):

```bash
pip install pandas
```

### Python Examples (3)

**Example 1** (Quality: 9.5/10):

```python
def long_example():
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    x3
...
```

From yusufkaraaslan/Skill_Seekers, MIT.

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