Enforcement of function keyword arguments in Python
Before starting in my new role a couple of months ago, it had been a very long time since I had programmed in Python.
Incidentally, I kept working in roles over the past several years that involved either full-stack Javascript or mostly Javascript with a little bit of another language (most recently Go).
So it's been fun to stretch my muscles a bit in a different language, especially one as accessible as Python is.
One feature of the language that I'm enjoying right now is the enforcement of keyword arguments to functions using the kw_only property made accessible in the @dataclass decorator.
It makes code that looks like this:
from dataclasses import dataclass @dataclass(kw_only=True) class Person: name: str age: int city: str person1 = Person("Alice", 30, "New York")
raise an error, because the use of kw_only expects to see something like the following:
from dataclasses import dataclass @dataclass(kw_only=True) class Person: name: str age: int city: str = "Unknown" person1 = Person(name="Alice", age=30, city="New York")
Although the error raised:
TypeError Traceback (most recent call last) Cell In[8], line 10 7 city: str = "Unknown" ---> 10 person1 = Person("Alice", 30, "New York") TypeError: Person.__init__() takes 1 positional argument but 4 were given
is "clear" in that it will indicate to you that there are too many positional arguments being provided, if you're not familiar with kw_only it can be a bit puzzling because it looks like you're invoking the function properly.
If you come from a background of Javascript/Typescript like I do, or have previous experience with languages like Go or Rust that enforce this using something like structs where you're able to provide the arguments in whatever order you like as long as the properties follow the shape of the object/struct, then this will feel familiar and likely a welcome addition to your Python code.
This is especially useful if you're working with a large number of arguments, some of which may be optional.
The above is the detailed content of Enforcement of function keyword arguments in Python. 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











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
