# yhilpisch/py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Repository: https://github.com/yhilpisch/py4fi2nd
Canonical: https://ross.abutalabs.com/products/py4fi2nd
Homepage: http://home.tpq.io/books/py4fi
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2025-06-06T08:12:44+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 25, release rhythm 35, longevity 100
- inputs: {"age_days": 2832, "days_push": 453, "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 2260, forks 907 (observed 2026-08-28T04:06:31.708381+00:00)

## What it is
Companion repository of Jupyter Notebooks and Python code for the book 'Python for Finance' (2nd edition, O'Reilly) by Yves Hilpisch. It covers data-driven finance topics including financial data analysis, derivatives analytics, and machine learning for trading.

## Use cases
- learn python for quantitative finance
- study algorithmic trading with python
- example notebooks for financial data analysis
- learn derivatives analytics in python
- machine learning for finance tutorials
- reproduce book examples in jupyter

## When to choose
- you are reading the book and want runnable code
- you want hands-on Jupyter notebooks for quantitative finance
- you are learning Python-based financial analytics and trading

## When to avoid
- you need a production trading system or maintained finance library
- you need Python 3.7+ compatible, up-to-date dependencies out of the box
- you want a standalone tool rather than book companion material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning, developer-tools
- domain: fintech, data-science, education, tutorials
- platform: python, cross-platform, cli
- tags: jupyter-notebooks, quantitative-finance, algorithmic-trading, book-companion-code, financial-analytics

## Member repositories
- yhilpisch/py4fi2nd (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:31.708381+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 2026-08-30T02:42:39.769373+00:00, confidence not recorded.
  - readme: https://github.com/yhilpisch/py4fi2nd (fetched 2026-08-28T04:06:31.708381+00:00, sha e28072a28b64)
  - homepage: http://home.tpq.io/books/py4fi (fetched 2026-08-29T10:23:22.827116+00:00, sha 04828d74d7b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.