# fbaptiste/python-deepdive

Python Deep Dive Course - Accompanying Materials

Repository: https://github.com/fbaptiste/python-deepdive
Canonical: https://ross.abutalabs.com/products/python-deepdive
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Last push: 2024-08-13T05:00:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3135, "days_push": 750, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1666, forks 1262 (observed 2026-08-28T04:05:19.540771+00:00)

## What it is
Accompanying Jupyter notebooks and Python source materials for the Udemy Python 3 Deep Dive course series by Fred Baptiste. It covers functional programming, iterables/iterators/generators, hash maps, and object-oriented programming in Python 3.6+.

## Use cases
- learn advanced python concepts
- study python generators and iterators
- understand python hash maps internals
- practice python object-oriented programming
- follow along with a python deep dive course
- get python functional programming examples

## When to choose
- you are taking or considering the Python 3 Deep Dive Udemy course
- you want structured notebooks for deepening intermediate-to-advanced Python knowledge
- you prefer learning through runnable Jupyter notebook examples

## When to avoid
- you need a production library or tool rather than course materials
- you want a beginner-friendly introduction to Python
- you expect maintained software with releases and issue support

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: programming-languages, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebooks, python-course, udemy, functional-programming, generators, oop, hash-maps

## Member repositories
- fbaptiste/python-deepdive (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:19.540771+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 2026-08-30T03:42:59.071131+00:00, confidence not recorded.
  - readme: https://github.com/fbaptiste/python-deepdive (fetched 2026-08-28T04:05:19.540771+00:00, sha 89d225ccc5fc)
- Data as of 2026-08-30T08:39:29.467469+00:00.