Discover Python self
keywords: the key to object-oriented programming
In Python object-oriented programming, the self
keyword is a special parameter in class methods, which often confuses beginners. This article will explain the meaning and importance of self
in an easy-to-understand manner.
The following example shows two classes: MyClass
and MyClass2
, both of which define myFunc
method. MyClass
' myFunc
method contains self
parameter, while MyClass2
does not. After running the code, MyClass
works normally, and MyClass2
throws TypeError
exception, indicating that the number of parameters does not match. This is the key to self
parameter.
self
is not a Python syntax mandatory, but a programming convention. It represents the instance of the class itself. In an instance method, self
is the first parameter, allowing the method to access and modify the instance properties. In MyClass
, self.name = name
assigns the value of the parameter name
to name
attribute of the instance myClass
. Without self
, the method cannot operate on instance properties.
The reason why myFunc
method of MyClass2
is the lack of self
parameter. The Python interpreter treats it as a static method, not an instance method, so there is no need to pass an instance object when invoking it. However, when trying to call this method through an instance object, an error of mismatch in the number of parameters. This highlights the role of self
in distinguishing between instance methods and static methods.
In contrast to instance methods, static methods can be declared using the @staticmethod
decorator. After adding @staticmethod
in MyClass2
, the myFunc
method becomes a static method, no longer requires self
parameters, and can be called directly through the class name or instance object, indicating that the method has nothing to do with a specific instance.
To sum up, the self
keyword is essentially a reference to the instance itself, allowing instance methods to access and modify instance properties, thereby realizing the core idea of object-oriented programming - data encapsulation and method operations. The use of self
is a convention of Python instance methods. The correct use of self
is crucial to writing clear and maintainable code.
The above is the detailed content of What is the function of the self keyword in Python?. For more information, please follow other related articles on the PHP Chinese website!

ToappendelementstoaPythonlist,usetheappend()methodforsingleelements,extend()formultipleelements,andinsert()forspecificpositions.1)Useappend()foraddingoneelementattheend.2)Useextend()toaddmultipleelementsefficiently.3)Useinsert()toaddanelementataspeci

TocreateaPythonlist,usesquarebrackets[]andseparateitemswithcommas.1)Listsaredynamicandcanholdmixeddatatypes.2)Useappend(),remove(),andslicingformanipulation.3)Listcomprehensionsareefficientforcreatinglists.4)Becautiouswithlistreferences;usecopy()orsl

In the fields of finance, scientific research, medical care and AI, it is crucial to efficiently store and process numerical data. 1) In finance, using memory mapped files and NumPy libraries can significantly improve data processing speed. 2) In the field of scientific research, HDF5 files are optimized for data storage and retrieval. 3) In medical care, database optimization technologies such as indexing and partitioning improve data query performance. 4) In AI, data sharding and distributed training accelerate model training. System performance and scalability can be significantly improved by choosing the right tools and technologies and weighing trade-offs between storage and processing speeds.

Pythonarraysarecreatedusingthearraymodule,notbuilt-inlikelists.1)Importthearraymodule.2)Specifythetypecode,e.g.,'i'forintegers.3)Initializewithvalues.Arraysofferbettermemoryefficiencyforhomogeneousdatabutlessflexibilitythanlists.

In addition to the shebang line, there are many ways to specify a Python interpreter: 1. Use python commands directly from the command line; 2. Use batch files or shell scripts; 3. Use build tools such as Make or CMake; 4. Use task runners such as Invoke. Each method has its advantages and disadvantages, and it is important to choose the method that suits the needs of the project.

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

InPython,listsusedynamicmemoryallocationwithover-allocation,whileNumPyarraysallocatefixedmemory.1)Listsallocatemorememorythanneededinitially,resizingwhennecessary.2)NumPyarraysallocateexactmemoryforelements,offeringpredictableusagebutlessflexibility.

InPython, YouCansSpectHedatatYPeyFeLeMeReModelerErnSpAnT.1) UsenPyNeRnRump.1) UsenPyNeRp.DLOATP.PLOATM64, Formor PrecisconTrolatatypes.


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

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver CS6
Visual web development tools

Dreamweaver Mac version
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
