القائمة
Use when testing the golden_jupyter_topics golden build
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
| name | golden-jupyter-topics |
| description | Use when testing the golden_jupyter_topics golden build |
Use when testing the golden_jupyter_topics golden build
Kernel: Python 3
Language: python 3.11.4
Use this skill when you need to:
Total Sections: 5
Content Breakdown:
Main topics covered in this notebook
Major Topics:
Subtopics:
3 package(s) imported
numpypandassklearnCommon documentation patterns found:
Getting Started (1 sections):
Modeling (1 sections):
High-quality code cells from notebook
Example 1 (Quality: 5.0/10):
pip install pandas
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()
Language Breakdown:
Reference Files:
references/section_s2-s2.md - Data Loadingreferences/section_s5-s5.md - Evaluationreferences/section_s1-s1.md - Setupreferences/section_s3-s4.md - OtherSee references/index.md for complete notebook structure.
Generated by Skill Seeker | Jupyter Notebook Scraper
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