Treffer: Forecasting: Principles and Practice, the Pythonic Way.

Title:
Forecasting: Principles and Practice, the Pythonic Way.
Authors:
HOOVER, JIM1 jim.hoover@warrington.ufl.edu
Source:
Foresight: The International Journal of Applied Forecasting. 2025Q4, Issue 79, p46-48. 3p.
Database:
Business Source Elite

Weitere Informationen

The article reviews "Forecasting: Principles and Practice, the Pythonic Way," a resource aimed at forecasting practitioners using Python or transitioning from R to Python. This book, freely available online, updates the classic text by incorporating Python-based forecasting methods and introducing new artificial intelligence capabilities. It includes practical examples, code snippets, and datasets, making it accessible for both students and professionals. While the book effectively covers core forecasting concepts, some advanced topics, particularly in AI forecasting, may require additional explanation and context for users to fully grasp the complexities involved. [Extracted from the article]

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