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Modern Python Cookbook

Modern Python Cookbook - Second Edition

By : Steven F. Lott
4.8 (15)
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Modern Python Cookbook

Modern Python Cookbook

4.8 (15)
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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16
Other Books You May Enjoy
17
Index

Designing functions with optional parameters

When we define a function, we often have a need for optional parameters. This allows us to write functions that are more flexible and easier to read.

We can also think of this as a way to create a family of closely-related functions. We can think of each function as having a slightly different collection of parameters – called the signature – but all sharing the same simple name. This is sometimes called an "overloaded" function. Within the typing module, an @overload decorator can help create type hints in very complex cases.

An example of an optional parameter is the built-in int() function. This function has two signatures:

  • int(str): For example, the value of int('355') has a value of 355. In this case, we did not provide a value for the optional base parameter; the default value of 10 was used.
  • int(str, base): For example, the value of int('163', 16) is 355. In...
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Modern Python Cookbook
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