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You're reading from  Time Series Analysis with Python Cookbook

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Published inJun 2022
PublisherPackt
ISBN-139781801075541
Edition1st Edition
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Tarek A. Atwan
Tarek A. Atwan
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Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.
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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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Time Series Analysis with Python Cookbook
Published in: Jun 2022Publisher: PacktISBN-13: 9781801075541

Author (1)

author image
Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.
Read more about Tarek A. Atwan