search
HomeBackend DevelopmentPython TutorialEnforcement of function keyword arguments in Python

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!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Are Python lists dynamic arrays or linked lists under the hood?Are Python lists dynamic arrays or linked lists under the hood?May 07, 2025 am 12:16 AM

Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

How do you remove elements from a Python list?How do you remove elements from a Python list?May 07, 2025 am 12:15 AM

Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

What should you check if you get a 'Permission denied' error when trying to run a script?What should you check if you get a 'Permission denied' error when trying to run a script?May 07, 2025 am 12:12 AM

Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

How are arrays used in image processing with Python?How are arrays used in image processing with Python?May 07, 2025 am 12:04 AM

ArraysarecrucialinPythonimageprocessingastheyenableefficientmanipulationandanalysisofimagedata.1)ImagesareconvertedtoNumPyarrays,withgrayscaleimagesas2Darraysandcolorimagesas3Darrays.2)Arraysallowforvectorizedoperations,enablingfastadjustmentslikebri

For what types of operations are arrays significantly faster than lists?For what types of operations are arrays significantly faster than lists?May 07, 2025 am 12:01 AM

Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

Explain the performance differences in element-wise operations between lists and arrays.Explain the performance differences in element-wise operations between lists and arrays.May 06, 2025 am 12:15 AM

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

How can you perform mathematical operations on entire NumPy arrays efficiently?How can you perform mathematical operations on entire NumPy arrays efficiently?May 06, 2025 am 12:15 AM

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

How do you insert elements into a Python array?How do you insert elements into a Python array?May 06, 2025 am 12:14 AM

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft