Book Image

Modern Python Cookbook. - Second Edition

By : Steven F. Lott
Book Image

Modern Python Cookbook. - Second Edition

By: Steven F. Lott

Overview of this book

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand. This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications. The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it. By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.
Table of Contents (18 chapters)
16
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17
Index

Numbers, Strings, and Tuples

This chapter will look at some of the central types of Python objects. We'll look at working with different kinds of numbers, working with strings, and using tuples. These are the simplest kinds of data Python works with. In later chapters, we'll look at data structures built on these foundations.

Most of these recipes assume a beginner's level of understanding of Python 3.8. We'll be looking at how we use the essential built-in types available in Python—numbers, strings, and tuples. Python has a rich variety of numbers, and two different division operators, so we'll need to look closely at the choices available to us.

When working with strings, there are several common operations that are important. We'll explore some of the differences between bytes—as used by our OS files, and strings—as used by Python. We'll look at how we can exploit the full power of the Unicode character set.

In this chapter, we'll show the recipes as if we're working from the >>> prompt in interactive Python. This is sometimes called the read-eval-print loop (REPL). In later chapters, we'll change the style so it looks more like a script file. The goal in this chapter is to encourage interactive exploration because it's a great way to learn the language.

We'll cover these recipes to introduce basic Python data types:

  • Working with large and small integers
  • Choosing between float, decimal, and fraction
  • Choosing between true division and floor division
  • Rewriting an immutable string
  • String parsing with regular expressions
  • Building complex strings with f-strings
  • Building complex strings from lists of characters
  • Using the Unicode characters that aren't on our keyboards
  • Encoding strings – creating ASCII and UTF-8 bytes
  • Decoding bytes – how to get proper characters from some bytes
  • Using tuples of items
  • Using NamedTuples to simplify item access in tuples

We'll start with integers, work our way through strings, and end up working with simple combinations of objects in the form of tuples and NamedTuples.