An illustrated 30-day guide to time series forecasting using the nixtlaverse Python toolkit — designed to be beginner-friendly and accessible to non-native English speakers.
Open forecast_in_30.html in any browser — no server needed.
Derived from Hyndman, R.J., Athanasopoulos, G., Garza, A. et al. (2025).
Forecasting: Principles and Practice, the Pythonic Way.
OTexts: Melbourne, Australia. otexts.com/fpppy — CC BY-NC-ND 4.0
✅ Permission to publish this derivative work was granted by Rob Hyndman (May 2026).
Original code examples in this repository: MIT Licence
Educational text content: CC BY-NC-ND 4.0 (see LICENSE-CONTENT.md)