本文实例讲述了python静态方法。分享给大家供大家参考。
具体实现方法如下:
代码如下:
staticmethod Found at: __builtin__
staticmethod(function) -> method
Convert a function to be a static method.
A static method does not receive an implicit first argument.
To declare a static method, use this idiom:
class C:
def f(arg1, arg2, ...): ...
f = staticmethod(f)
It can be called either on the class (e.g. C.f()) or on an
instance
(e.g. C().f()). The instance is ignored except for its class.
Static methods in Python are similar to those found in
Java or C++.
For a more advanced concept, see the classmethod builtin.
class Employee:
"""Employee class with static method isCrowded"""
numberOfEmployees = 0 # number of Employees created
maxEmployees = 10 # maximum number of comfortable employees
def isCrowded():
"""Static method returns true if the employees are crowded"""
return Employee.numberOfEmployees > Employee.maxEmployees
# create static method
isCrowded = staticmethod(isCrowded)
def __init__(self, firstName, lastName):
"""Employee constructor, takes first name and last name"""
self.first = firstName
self.last = lastName
Employee.numberOfEmployees += 1
def __del__(self):
"""Employee destructor"""
Employee.numberOfEmployees -= 1
def __str__(self):
"""String representation of Employee"""
return "%s %s" % (self.first, self.last)
# main program
def main():
answers = [ "No", "Yes" ] # responses to isCrowded
employeeList = [] # list of objects of class Employee
# call static method using class
print "Employees are crowded?",
print answers[ Employee.isCrowded() ]
print "\nCreating 11 objects of class Employee..."
# create 11 objects of class Employee
for i in range(11):
employeeList.append(Employee("John", "Doe" + str(i)))
# call static method using object
print "Employees are crowded?",
print answers[ employeeList[ i ].isCrowded() ]
print "\nRemoving one employee..."
del employeeList[ 0 ]
print "Employees are crowded?", answers[ Employee.isCrowded() ]
if __name__ == "__main__":
main()
希望本文所述对大家的Python程序设计有所帮助。

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making


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

WebStorm Mac version
Useful JavaScript development tools

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),

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 English version
Recommended: Win version, supports code prompts!
