Book Image

Secret Recipes of the Python Ninja

Book Image

Secret Recipes of the Python Ninja

Overview of this book

This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
Index

Introducing decorators


With that out of the way, we can talk about decorators. Decorators wrap a function in another function that modifies the original in some way, such as adding functionality, modifying arguments or results, and so on. Decorators are identified by the @foo nomenclature on the line above a function/method definition.

The workhorse of a decorator function is defining the wrapperfunction within it. In this case, the wrapperfunction is a nested function that actually does the modification work, though the decorator name is what is called.

How to do it...

  1. Define the decorator function:
        def fun_decorator(some_funct):
            def wrapper():
                print("Here is the decorator, doing its thing")
                for i in range(10):
                    print(i)
                print("The decorator is done, returning to the 
                       originally scheduled function")
                print(some_funct())
            return wrapper
  1. Define the main function...