Metadata-Version: 2.1
Name: PythonTsa
Version: 1.3.5
Summary: Package for Applied Time Series Analysis and Forecasting with Python, Springer 2022
Home-page: UNKNOWN
Author: Changquan Huang
Author-email: h.changquan@icloud.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

This package is a companion to the book  Applied Time Series Analysis and Forecasting with Python, Springer 2022. It contains several 
important Python functions for analyzing time series and most data sets analyzed in the book.

