# jmportilla/Complete-Python-Bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

Repository: https://github.com/jmportilla/Complete-Python-Bootcamp
Canonical: https://ross.abutalabs.com/products/jmportilla-complete-python-bootcamp
Language: Jupyter Notebook
License Family: other
Last push: 2023-07-26T23:28:47+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": 4014, "days_push": 1134, "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 2350, forks 2940 (observed 2026-08-28T04:06:40.310901+00:00)

## What it is
A repository of Jupyter Notebook lecture materials accompanying the Udemy 'Complete Python Bootcamp' course by Jose Portilla. It provides downloadable .ipynb files covering the course's Python lessons.

## Use cases
- learn python from scratch
- find jupyter notebook exercises for python basics
- supplement a python course with lecture notebooks
- practice python with downloadable notebooks
- self-study python programming

## When to choose
- you are enrolled in the Udemy Complete Python Bootcamp and want the companion notebooks
- you prefer learning Python through interactive Jupyter notebooks
- you want free downloadable Python lecture materials

## When to avoid
- you need a maintained software library or tool
- you want video lectures without purchasing the Udemy course
- you need advanced or up-to-date Python topics, as materials may be dated

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

## Member repositories
- jmportilla/Complete-Python-Bootcamp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.310901+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 2026-08-30T02:36:56.148992+00:00, confidence not recorded.
  - readme: https://github.com/jmportilla/Complete-Python-Bootcamp (fetched 2026-08-28T04:06:40.310901+00:00, sha 7c94e4e7cdbd)
- Data as of 2026-08-30T08:39:29.467469+00:00.