Home / Other tools
QuantFinance
Training materials for quantitative finance in Python
What it is
A set of training materials for quantitative finance from Python Charmers. The content mixes code and notes covering finance fundamentals and how to work through them in Python. Beginners and developers who want a structured course-style introduction to quant topics are the intended users. It is course material, so the code is meant for learning exercises rather than reuse in a production system.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Beginners |
|---|---|
| Used for | Strategy research, Data analysis |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Low practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | No commits in over six months |
GitHub stars, last 30 days
Daily snapshots since 2026-09-28 (up to 30 days): +5 over the period, now 623. Gaps mean no snapshot was taken that day.
Training materials in quantitative finance.
Similar tools
J.P. Morgan's Python training for analysts and traders
Portfolio analytics and performance tear sheets for quants
Jupyter notebooks and code for Python for Finance
Chinese open-source quant finance tutorial with AI arXiv radar
Recipe code for the Python for Finance Cookbook from Packt
Financial function library for quantitative analysis in Python