# mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama

Udemy üzerindeki Python kurslarında kullanılan materyaller

Repository: https://github.com/mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama
Canonical: https://ross.abutalabs.com/products/sifirdan-ileri-seviyeye-python-programlama
Language: Jupyter Notebook
License Family: other
Last push: 2022-11-07T23:03:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3363, "days_push": 1395, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1998, forks 763 (observed 2026-08-28T04:06:03.591625+00:00)

## What it is
A collection of Jupyter notebooks and code materials used in a Turkish Udemy course teaching Python from beginner to advanced levels. It serves as a free companion learning resource for the course.

## Use cases
- learn python from scratch
- find python course exercises and notebooks
- study python basics to advanced topics
- supplement a python tutorial with practice notebooks
- review python examples in jupyter notebooks

## When to choose
- you are a beginner learning Python and want structured course notebooks
- you prefer Turkish-language learning materials
- you want free hands-on Jupyter notebook examples

## When to avoid
- you need production-ready Python code or libraries
- you require English-only documentation
- you need a maintained software tool rather than course materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: python-course, jupyter-notebooks, udemy, turkish, beginner-friendly

## Member repositories
- mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:03.591625+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:02:12.802141+00:00, confidence not recorded.
  - readme: https://github.com/mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama (fetched 2026-08-28T04:06:03.591625+00:00, sha efa4f5daff70)
- Data as of 2026-08-30T08:39:29.467469+00:00.