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golden-jupyter

Use when testing the golden_jupyter golden build

الانتقال إلى التثبيت

معلومات المصدر

المستودع
yusufkaraaslan/Skill_Seekers
آخر نشاط في المصدر
١١ يونيو ٢٠٢٦ في ٢١:٢٠
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٤٬٩٩٠
التفرعات
١٬٥٢٧

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات
3 ملفات

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
golden-jupyter
description
Use when testing the golden_jupyter golden build
# 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 = 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): ```python import pandas as pd df = pd.read_csv('data.csv') df.head() ``` **Example 3** (Quality: 2.0/10): ```python %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. --- **Generated by Skill Seeker** | Jupyter Notebook Scraper
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