


How to make a custom function in Python available globally?
When we develop Python projects, we often write some tool functions. In order to use this tool function in multiple .py files in the project, you have to import it in multiple places, which is very troublesome.
For example, the following example:
Both the A.py and C.py files must use the clean_msg tool function, then they must Import clean_msg from util.py. This seems natural.
But today when I was looking at the source code of icecream/builtins.py[1], I suddenly discovered an advanced usage that allows us to use tool functions just like using Python’s print function. No need to Import, use it directly instead.
Let’s take a look at the effect first:
Everyone pay attention to A.py and C.py, I did not import clean_msg but used this directly function. And it runs completely fine.
The key principle is in the entry file main.py, the 3 lines I framed:
import builtins from util import clean_msg setattr(builtins, 'clean_msg', clean_msg)
In Python, all built-in functions or classes are in the builtins module, so in It can be used directly in the code without importing. Now we only need to register our custom tool function into the builtins module, so that it can have the same effect as the built-in function.
If you want to register a tool function as a built-in function, you only need to import it in the entry file, and then use setattr to set it as an attribute of the builtins module. The second parameter is the name when you want to call it globally, and the third parameter is the tool function you need to register. The name can be different from the name of the utility function, as long as it does not duplicate an existing built-in function.
After the registration is completed, during the entire runtime of this project, this tool function can be called directly through the registered name in any .py file, just like calling the built-in function.
Reference materials
[1] icecream/builtins.py: https://github.com/gruns/icecream/blob/master/icecream/builtins.py
The above is the detailed content of How to make a custom function in Python available globally?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.
