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)
Other Books You May Enjoy

Choosing a data structure

Python offers a number of built-in data structures to help us work with collections of data. It can be confusing to match the data structure features with the problem we're trying to solve.

How do we choose which structure to use? What are the features of lists, sets, and dictionaries? Why do we have tuples and frozen sets?

Getting ready

Before we put data into a collection, we'll need to consider how we'll gather the data, and what we'll do with the collection once we have it. The big question is always how we'll identify a particular item within the collection.

We'll look at a few key questions that we need to answer to decide which of the built-in structures is appropriate.

How to do it...

  1. Is the programming focused on simple existence? Are items present or absent from a collection? An example of this is validating input values. When the user enters something that's in the collection, their...