golden-jupyter-dir

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_Dir Notebook Skill

Use when testing the golden_jupyter_dir 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_dir 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():
    x0 = 0
    x1 = 1
    x2 = 2
    x3 = 3
    x4 = 4
    x5 = 5
    x6 = 6
    x7 = 7
    x8 = 8
    x9 = 9
    x10 = 10
    x11 = 11
    x12 = 12
    x13 = 13
    x14 = 14
    x15 = 15
    x16 = 16
    x17 = 17
    x18 = 18
    x19 = 19
    x20 = 20
    x21 = 21
    x22 = 22
    x23 = 23
    x24 = 24
    x25 = 25
    x26 = 26
    x27 = 27
    x28 = 28
    x29 = 29
    x30 = 30
    x31 = 31
    x32 = 32
    x33 = 33
    x34 = 34
    x35 = 35
    x36 = 36
    x37 = 37
    x3
...
```

From yusufkaraaslan/Skill_Seekers, MIT.

More from yusufkaraaslan/Skill_Seekers