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Modern Python Cookbook

You're reading from   Modern Python Cookbook 133 recipes to develop flawless and expressive programs in Python 3.8

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800207455
Length 822 pages
Edition 2nd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (18) Chapters Close

Preface 1. Numbers, Strings, and Tuples 2. Statements and Syntax FREE CHAPTER 3. Function Definitions 4. Built-In Data Structures Part 1: Lists and Sets 5. Built-In Data Structures Part 2: Dictionaries 6. User Inputs and Outputs 7. Basics of Classes and Objects 8. More Advanced Class Design 9. Functional Programming Features 10. Input/Output, Physical Format, and Logical Layout 11. Testing 12. Web Services 13. Application Integration: Configuration 14. Application Integration: Combination 15. Statistical Programming and Linear Regression 16. Other Books You May Enjoy
17. Index

Working with large and small integers

Many programming languages make a distinction between integers, bytes, and long integers. Some languages include distinctions for signed versus unsigned integers. How do we map these concepts to Python?

The easy answer is that we don't. Python handles integers of all sizes in a uniform way. From bytes to immense numbers with hundreds of digits, they're all integers to Python.

Getting ready

Imagine you need to calculate something really big. For example, we want to calculate the number of ways to permute the cards in a 52-card deck. The factorial 52! = 52 × 51 × 50 × ... × 2 × 1, is a very, very large number. Can we do this in Python?

How to do it...

Don't worry. Really. Python has one universal type of integer, and this covers all of the bases, from individual bytes to numbers that fill all of the memory. Here are the steps to use integers properly:

  1. Write the numbers you need...
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