Matt Harrison on X: "Last week I taught a course that covered Decorators in Python. Many know how to use them, but few can write them. These are tricky because nested functions
![Python Coding on X: "@ wraps:The @ wraps decorator, from the functools module, is used to preserve the metadata of the original function when creating wrapper functions. It's often used when creating Python Coding on X: "@ wraps:The @ wraps decorator, from the functools module, is used to preserve the metadata of the original function when creating wrapper functions. It's often used when creating](https://pbs.twimg.com/media/F9MOhMtWQAAKzhv.png)
Python Coding on X: "@ wraps:The @ wraps decorator, from the functools module, is used to preserve the metadata of the original function when creating wrapper functions. It's often used when creating
![There is one thing you should probably do EVERY TIME you define a Python 🐍 decorator. And that is: use the `functools.wraps` decorator! Why? - Thread from Rodrigo 🐍🚀 @mathsppblog - Rattibha There is one thing you should probably do EVERY TIME you define a Python 🐍 decorator. And that is: use the `functools.wraps` decorator! Why? - Thread from Rodrigo 🐍🚀 @mathsppblog - Rattibha](https://pbs.twimg.com/media/FcOXzGGX0AQ2VoB.png)
There is one thing you should probably do EVERY TIME you define a Python 🐍 decorator. And that is: use the `functools.wraps` decorator! Why? - Thread from Rodrigo 🐍🚀 @mathsppblog - Rattibha
![Python Coding on X: "@ wraps: The @ wraps decorator, available in the functools module, is often used in custom decorators to preserve the original function's metadata, such as docstrings and function Python Coding on X: "@ wraps: The @ wraps decorator, available in the functools module, is often used in custom decorators to preserve the original function's metadata, such as docstrings and function](https://pbs.twimg.com/media/GHF9yckXQAAXh7T.jpg:large)