Time Series Analysis with Python Cookbook

Preface

A familiar association people make is between forecasting and financial data. In reality, forecasting is used in many industries, leveraging historical data to make future predictions. More specifically, this book is about time series analysis, a process to gain better insight from historical data, capture trends and cyclical patterns, and build a suitable forecasting model.

When working with data that contains observations that change over time and is recorded at specific intervals, you are dealing with time series data. You will find time series data in many domains, and the discipline of time series analysis covers various use cases. For example, time series analysis is used in science (forecasting weather, earthquakes, air quality, ...