Golden Jupyter

Golden_Jupyter Notebook Skill

Use when testing the golden_jupyter 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 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:

• analysis: 5 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):

pip install pandas

Python Examples (3)

Example 1 (Quality: 9.5/10):

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
...

In [2] (Quality: 7.5/10):

import pandas as pd
df = pd.read_csv('data.csv')
df.head()

Example 3 (Quality: 2.0/10):

%timeit broken()

📊 Notebook Statistics

• Total Sections: 5
• Code Cells: 2
• Markdown Cells: 2
• Raw Cells: 1
• Notebooks: 1
• Programming Languages: 2

Language Breakdown:

• python: 3 code cells
• bash: 1 code cells

🗺️ Navigation

Reference Files:

• references/analysis.md - analysis

See references/index.md for complete notebook structure.

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Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yusufkaraaslan
• Source: yusufkaraaslan/Skill_Seekers
• License: MIT
• Homepage: https://skillseekersweb.com/

Install and usage instructions live in the source repository linked above.