win7以上需要使用管理员权限操作。
# -*- coding: utf-8 -*-
import os
import glob
import shutil
def format_file_list(files):
all_files_str = ""
for i in range(len(files)):
all_files_str += str(i)+":"+files[i]+"\n"
return all_files_str
hosts_path = "C:\\Windows\\System32\\drivers\\etc"
files = os.listdir(hosts_path)
os.chdir(hosts_path)
if os.getcwd() != hosts_path:
print("Switch Dir to System32 Error,check permission!\npwd:"+os.getcwd())
exit()
hosts_files = glob.glob("host*")
choosed_file_idx = int(input("Choose Hosts File Index:\n"+format_file_list(hosts_files)))
files_num = len(hosts_files)
if (choosed_file_idx = files_num) :
print("Please choose a file in the lists!")
exit()
print("Choosed idx:{0},file:{1}.".format(choosed_file_idx,hosts_files[choosed_file_idx]))
shutil.copy("hosts","hosts.bak")
shutil.copy(hosts_files[choosed_file_idx],"hosts")
print("Copy ok,then flush dns...")
os.system("ipconfig /flushdns")

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

Inpython,ListSusedynamicMemoryAllocationWithOver-Asalose,而alenumpyArraySallaySallocateFixedMemory.1)listssallocatemoremoremoremorythanneededinentientary上,respizeTized.2)numpyarsallaysallaysallocateAllocateAllocateAlcocateExactMemoryForements,OfferingPrediCtableSageButlessemageButlesseflextlessibility。

Inpython,YouCansspecthedatatAtatatPeyFelemereModeRernSpant.1)Usenpynernrump.1)Usenpynyp.dloatp.dloatp.ploatm64,formor professisconsiscontrolatatypes。

NumPyisessentialfornumericalcomputinginPythonduetoitsspeed,memoryefficiency,andcomprehensivemathematicalfunctions.1)It'sfastbecauseitperformsoperationsinC.2)NumPyarraysaremorememory-efficientthanPythonlists.3)Itoffersawiderangeofmathematicaloperation

Contiguousmemoryallocationiscrucialforarraysbecauseitallowsforefficientandfastelementaccess.1)Itenablesconstanttimeaccess,O(1),duetodirectaddresscalculation.2)Itimprovescacheefficiencybyallowingmultipleelementfetchespercacheline.3)Itsimplifiesmemorym

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

numpyallowsforvariousoperationsonArrays:1)basicarithmeticlikeaddition,减法,乘法和division; 2)evationAperationssuchasmatrixmultiplication; 3)element-wiseOperations wiseOperationswithOutexpliitloops; 4)

Arresinpython,尤其是Throughnumpyandpandas,weessentialFordataAnalysis,offeringSpeedAndeffied.1)NumpyArseNable efflaysenable efficefliceHandlingAtaSetSetSetSetSetSetSetSetSetSetSetsetSetSetSetSetsopplexoperationslikemovingaverages.2)


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