# jpmorganchase/python-training

Python training for business analysts and traders

Repository: https://github.com/jpmorganchase/python-training
Canonical: https://ross.abutalabs.com/products/python-training
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: python, jupyter, jupyterlab, binder, binder-ready, data-science, finance, banking, jpmorgan, cib
Last push: 2026-08-24T14:00:00+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2596, "days_push": 9, "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 13996, forks 2252 (observed 2026-08-28T04:11:05.283856+00:00)

## What it is
J.P. Morgan's open-source Python training course for business analysts and traders, delivered as Jupyter notebooks covering numerical computing and data visualization. It is designed to be run via Binder or in instructor-led sessions and requires no formal programming background.

## Use cases
- learn python for finance and trading
- introduction to numerical computing in python
- data visualization tutorial with jupyter notebooks
- python training for non-programmers
- self-study python course runnable in binder
- teach business analysts python basics

## When to choose
- you are a business analyst or trader new to Python
- you want a hands-on notebook-based intro to numerical computing and plotting
- you want a zero-setup course launched via Binder

## When to avoid
- you need a comprehensive computer science or software engineering curriculum
- you want production trading tools or libraries rather than educational material
- you need advanced machine learning or deep learning content

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, developer-tools
- domain: education, data-science, fintech, tutorials
- platform: python, cross-platform
- tags: jupyter, jupyterlab, binder, finance, trading, numerical-computing, notebooks, training-course, web-server

## Member repositories
- jpmorganchase/python-training (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:05.283856+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 2026-08-29T17:12:53.404267+00:00, confidence not recorded.
  - readme: https://github.com/jpmorganchase/python-training (fetched 2026-08-28T04:11:05.283856+00:00, sha 62a3f149b702)
- Data as of 2026-08-30T08:39:29.467469+00:00.