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Python-for-Finance-Cookbook
Recipe code for the Python for Finance Cookbook from Packt
What it is
The code repository for the Python for Finance Cookbook published by Packt. It contains runnable Jupyter notebooks covering financial data analysis, time-series modelling, asset allocation and strategy backtesting. Developers, students and analysts who learn best from worked recipes will get practical examples to adapt. The recipes follow the book's structure, and library versions used in the notebooks may need updating to run on a current Python setup.
At a glance
Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Beginners |
|---|---|
| Used for | Data analysis, Strategy research |
| Markets | Multi-market |
| Stack | Python |
| Learning curve | Easy to start |
| Practical value | Medium 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): +2 over the period, now 803. Gaps mean no snapshot was taken that day.
Python for Finance Cookbook, published by Packt.
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