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): ```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 ...