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Time Series Analysis with Python Cookbook

You're reading from   Time Series Analysis with Python Cookbook Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801075541
Length 630 pages
Edition 1st Edition
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Author (1):
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Tarek A. Atwan Tarek A. Atwan
Author Profile Icon Tarek A. Atwan
Tarek A. Atwan
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Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Getting Started with Time Series Analysis 2. Chapter 2: Reading Time Series Data from Files FREE CHAPTER 3. Chapter 3: Reading Time Series Data from Databases 4. Chapter 4: Persisting Time Series Data to Files 5. Chapter 5: Persisting Time Series Data to Databases 6. Chapter 6: Working with Date and Time in Python 7. Chapter 7: Handling Missing Data 8. Chapter 8: Outlier Detection Using Statistical Methods 9. Chapter 9: Exploratory Data Analysis and Diagnosis 10. Chapter 10: Building Univariate Time Series Models Using Statistical Methods 11. Chapter 11: Additional Statistical Modeling Techniques for Time Series 12. Chapter 12: Forecasting Using Supervised Machine Learning 13. Chapter 13: Deep Learning for Time Series Forecasting 14. Chapter 14: Outlier Detection Using Unsupervised Machine Learning 15. Chapter 15: Advanced Techniques for Complex Time Series 16. Index 17. Other Books You May Enjoy

Working with Unix epoch timestamps

Epoch timestamps, sometimes referred to as Unix time or POSIX time, are a common way to store datetime in an integer format. This integer represents the number of seconds elapsed from a reference point, and in the case of a Unix-based timestamp, the reference point is January 1, 1970, at midnight (00:00:00 UTC). This arbitrary date and time represent the baseline, starting at 0. So, we just increment in seconds for every second beyond that time.

Many databases, applications, and systems store dates and time in numeric format, making it mathematically easier to work with, convert, increment, decrement, and so on. Note that in the case of the Unix epoch, it is based on UTC, which stands for Universal Time Coordinated. Using UTC is a clear choice when building applications used globally, making it easier to store dates and timestamps in a standardized format. This makes it easier to work with dates and time without worrying about daylight saving or...

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