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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Data types

Python provides a variety of specialized data types, such as dates and times, container types, and enumerations. There is a whole section in the Python standard library titled Data Types, which deserves to be explored; it is filled with interesting and useful tools for every programmer's needs. You can find it here: https://docs.python.org/3/library/datatypes.html

In this section, we will give you a brief introduction to dates and times, collections, and enumerations.

Dates and times

The Python standard library provides several data types that can be used to deal with dates and times. This may seem like a simple topic at first, but time zones, daylight saving time, leap years and other quirks can easily trip up an unwary programmer. There are also a huge number of ways to format and localize date and time information. This, in turn makes it challenging to parse dates and times. This probably why it is quite common for professional Python programmers to also rely on various...

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