In the world of software development, time and concurrency are two fundamental concepts that every programmer must grapple with. Whether you’re building a web application, a data processing pipeline, or a real-time system, understanding how to work with dates, times, and concurrent execution is crucial for creating robust and reliable software.
Fortunately, Python’s built-in datetime module provides a powerful set of tools for working with dates, times, and time zones.
In this article, we'll explore the key features of the datetime module and how to leverage them to build more efficient and reliable Python applications.
Handling Dates and Times
The datetime module in Python offers several classes for working with dates and times, including date, time, datetime, and timedelta. These classes provide a wide range of functionality, from basic date and time manipulation to advanced time zone handling.
Here's a simple example of how to work with the datetime class:
from datetime import datetime
# Get the current date and…
