# saurabh618/All-Python-codes-of-ZTM-course-by-Andrei-Neagoie

Repository: https://github.com/saurabh618/All-Python-codes-of-ZTM-course-by-Andrei-Neagoie
Canonical: https://ross.abutalabs.com/products/all-python-codes-of-ztm-course-by-andrei-neagoie
Language: Jupyter Notebook
License Family: other
Last push: 2023-08-24T05:59:53+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2190, "days_push": 1105, "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 1051, forks 730 (observed 2026-08-28T04:03:23.165964+00:00)

## What it is
A collection of all Python code examples and inline notes from the 'Complete Python Developer: Zero to Mastery' Udemy course by Andrei Neagoie, organized in Jupyter Notebook and Python files. It serves as a consolidated study and revision resource for students of the course.

## Use cases
- learn python from the ztm course with ready code examples
- find all course code in one place for revision
- debug my python course exercises by comparing with working code
- use as a python cheatsheet while studying
- review python concepts with commented example files

## When to choose
- you are enrolled in the Zero to Mastery Python course and want companion code
- you want commented, runnable examples of core Python topics
- you need a quick revision reference after finishing the course

## When to avoid
- you want a structured curriculum or interactive lessons rather than code dumps
- you need production-quality or tested Python code
- you are looking for an officially maintained course repository

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: programming-languages, tutorials, education
- platform: python, cross-platform
- tags: python-course-notes, ztm-course, udemy, jupyter-notebook, study-material

## Member repositories
- saurabh618/All-Python-codes-of-ZTM-course-by-Andrei-Neagoie (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.165964+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 2026-08-30T07:00:13.707893+00:00, confidence not recorded.
  - readme: https://github.com/saurabh618/All-Python-codes-of-ZTM-course-by-Andrei-Neagoie (fetched 2026-08-28T04:03:23.165964+00:00, sha 438e628a5334)
- Data as of 2026-08-30T08:39:29.467469+00:00.