Python Functions Deep Dive Part 2: Write Simple and Parameterized Decorator - Coen de Groot

In this course, "Python Functions Deep Dive Part 2: Write Simple and Parameterized Decorator,” we will continue to study after defining these advanced topics to create more extensive and versatile code. We will begin our topic with local and global variable demonstrations of how they work within the functions and beyond. This will include learning nested functions where a function is inside another function and how this can help in the arrangement of data. It also contains closures, which are used to enforce the state within functions; it cleans up the code and makes it faster.

Now, let’s see how functions can be used more dynamically, such as arguments to other functions or perhaps as their results. This will help us understand higher-order functions and their coding flexibility. We will also discuss monkey patching, an advanced concept that lets you change or enrich code on the fly. It can be useful for working on a copy, for example, when testing or for adding further features without altering the actual source code.

Last but not least, decorators are one of the coolest features in Python that enable you to extend the functionalities of a given function without making any changes to the original code of the function. You will also master the skill of writing simple decorators for ease of making the functionality more enhanced. We’ll also look at parameterized decorators that are more flexible than simple decorators as they allow you to input parameters to your decor. By the end of this class, "Python Functions Deep Dive Part 2: Write Simple and Parameterized Decorator”, you will have a good foundation of these advanced concepts, and you could implement them in your projects. Also, we’ll show you where you can get more information on Python functions for your further learning.

Python Functions Deep Dive Part 2: Write Simple and Parameterized Decorator Table of Contents:

1. Introduction
2. Functions as Objects
3. Nested Functions
4. Variable Scopes
5. Closures
6. Decorators
7. Advanced Decorators
8. Summary

Who is this course for?

1. Python students who are willing to advance their knowledge about functions.
2. Mid-level Python developers who aim to improve function-related capabilities.
3. Anyone willing to know how functions are used in Python.
4. From this article, aspiring or professional programmers wish to utilize numpy and scipy functions in their developments fully.

Click on the links below to Download Python Functions Deep Dive Part 2: Write Simple and Parameterized Decorator!