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)
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Using more complex structures – maps of lists

In Chapter 4, Built-In Data Structures Part 1: Lists and Sets, we looked at the basic data structures available in Python. The recipes generally looked at the various structures in isolation.

We'll look at a common combination structure—the mapping from a single key to a list of related values. This can be used to accumulate detailed information about an object identified by a given key. This recipe will transform a flat list of details into details structurally organized by shared key values.

Getting ready

In order to create a more complex data structure, like a map that contains lists, we're going to need more complex data. To get ready, we're going to start with some raw log data, decompose it into individual fields, and then create individual Event objects from the fields of data. We can then reorganize and regroup the Event objects into lists associated with common attribute values.