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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Writing Python script and module files – syntax basics

We'll need to write Python script files in order to do anything that's fully automated. We can experiment with the language at the interactive >>> prompt. We can also use JupyterLab interactively. For automated work, however, we'll need to create and run script files.

How can we make sure our code matches what's in common use? We need to look at some common aspects of style: how we organize our programming to make it readable.

We'll also look at a number of more technical considerations. For example, we need to be sure to save our files in UTF-8 encoding. While ASCII encoding is still supported by Python, it's a poor choice for modern programming. We'll also need to be sure to use spaces instead of tabs. If we use Unix newlines as much as possible, we'll also find it slightly simpler to create software that runs on a variety of operating systems.