arogozhnikov/python3_with_pleasure resource
A short guide on features of Python 3 with examples observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3181
- days_rel: n/a
- days_push: 1948
- n_releases_24m: 0
Adoption not part of the score
3595 stars · 188 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A short tutorial-style guide showcasing useful Python 3 features (pathlib, type hinting, f-strings, etc.) aimed at data scientists migrating from Python 2. It is a collection of explanatory text and code examples rather than installable software.
Use cases
- migrate codebase from python 2 to python 3
- learn new python 3 features with examples
- understand pathlib and type hinting in python 3
- guide for data scientists switching to python 3
- find python 3 idioms for data pipelines
When to choose
- you are a data scientist still on Python 2 planning a migration
- you want a concise, example-driven tour of Python 3 improvements
- you need quick explanations of pathlib, type hints, or f-strings
When to avoid
- you need a runnable library or tool rather than documentation
- you already write modern Python 3 daily
- you need an exhaustive or up-to-date language reference
Facets
learning-resource · maturity maintenance
documentation developer-tools programming-languages tutorials data-science education python cross-platform python3 migration-guide python2-to-python3 data-science examples
1 source
- readme: https://github.com/arogozhnikov/python3_with_pleasure · fetched 2026-08-28 · 90923097d715
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arogozhnikov/python3_with_pleasure | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="arogozhnikov/python3_with_pleasure")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem