用python实现简单Server/Client文件传输:
服务器端:
#!/usr/bin/python import SocketServer, time class MyServer(SocketServer.BaseRequestHandler): userInfo = { 'leonis' : 'leonis', 'hudeyong' : 'hudeyong', 'mudan' : 'mudan' } def handle(self): print 'Connected from', self.client_address while True: receivedData = self.request.recv(8192) if not receivedData: continue elif receivedData == 'Hi, server': self.request.sendall('hi, client') elif receivedData.startswith('name'): self.clientName = receivedData.split(':')[-1] if MyServer.userInfo.has_key(self.clientName): self.request.sendall('valid') else: self.request.sendall('invalid') elif receivedData.startswith('pwd'): self.clientPwd = receivedData.split(':')[-1] if self.clientPwd == MyServer.userInfo[self.clientName]: self.request.sendall('valid') time.sleep(5) sfile = open('down.sh', 'rb') while True: data = sfile.read(1024) if not data: break while len(data) > 0: intSent = self.request.send(data) data = data[intSent:] time.sleep(3) self.request.sendall('EOF') else: self.request.sendall('invalid') elif receivedData == 'bye': break self.request.close() print 'Disconnected from', self.client_address print if __name__ == '__main__': print 'Server is started\nwaiting for connection…\n' srv = SocketServer.ThreadingTCPServer(('ip', 50000), MyServer) srv.serve_forever()
客户端:
import socket, time class MyClient: def __init__(self): print 'Prepare for connecting…' def connect(self): sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.connect(('ip', 50000)) sock.sendall('Hi, server') self.response = sock.recv(8192) print 'Server:', self.response self.s = raw_input("Server: Do you want get the 'thinking in python' file?(y/n):") if self.s == 'y': while True: self.name = raw_input('Server: input our name:') sock.sendall('name:' + self.name.strip()) self.response = sock.recv(8192) if self.response == 'valid': break else: print 'Server: Invalid username' while True: self.pwd = raw_input('Server: input our password:') sock.sendall('pwd:' + self.pwd.strip()) self.response = sock.recv(8192) if self.response == 'valid': print 'please wait…' f = open('down.sh', 'wb') while True: data = sock.recv(1024) if data == 'EOF': break f.write(data) f.flush() f.close() print 'download finished' break else: print 'Server: Invalid password' sock.sendall('bye') sock.close() print 'Disconnected' if __name__ == '__main__': client = MyClient() client.connect()
由于担心服务器数据安全,所以写了这个脚本,结合上面分享的Server/Client 文件互传,可以备份网站数据到本地,安全又可靠
#!/usr/bin/python # Filename: webbak.py import os import time import tarfile os.chdir('/home/web/') #切换目录 source = 'leonis' bakdir = '/home/web/leonis/' # mysql dump dump = 'mysqldump' dbuser = 'XXXXXXX' dbpwd = 'XXXXXXXXXXX' dbname = 'XXXXXXXX' sqlfile = '/home/web/leonis/leonis.sql' sql = "%s -u%s -p%s %s > %s" % (dump,dbuser,dbpwd,dbname,sqlfile) if os.path.exists(sqlfile): os.remove(sqlfile) else: print 'then will dump sql file' result = os.popen(sql) if result: # print ("SQL backup completed!") else: print ("SQL backup failed!") # gzip 压缩 以当日日期命名 filename = bakdir + time.strftime('%Y%m%d')+'.tar.gz' tar = tarfile.open(filename,"w:gz") tar.add(source) tar.close()

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.ArarayoveralistinpythonwhendeAlingwithHomeSdata,performance-Caliticalcode,orinterFacingWithCcccode.1)同质性data:arrayssavememorywithtypedelements.2)绩效code-performance-clitionalcode-clitadialcode-critical-clitical-clitical-clitical-clitaine code:araysofferferbetterperperperformenterperformanceformanceformancefornalumericalicalialical.3)

不,notalllistoperationsareSupportedByArrays,andviceversa.1)arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,wheremactssperformance.2)listssdonotguaranteeconeeconeconstanttanttanttanttanttanttanttanttimecomplecomecomecomplecomecomecomecomecomecomplecomectaccesslikearrikearraysodo。

toAccesselementsInapythonlist,useIndIndexing,负索引,切片,口头化。1)indexingStartSat0.2)否定indexingAccessesessessessesfomtheend.3)slicingextractsportions.4)iterationerationUsistorationUsisturessoreTionsforloopsoreNumeratorseforeporloopsorenumerate.alwaysCheckListListListListlentePtotoVoidToavoIndexIndexIndexIndexIndexIndExerror。

Arraysinpython,尤其是Vianumpy,ArecrucialInsCientificComputingfortheireftheireffertheireffertheirefferthe.1)Heasuedfornumerericalicerationalation,dataAnalysis和Machinelearning.2)Numpy'Simpy'Simpy'simplementIncressionSressirestrionsfasteroperoperoperationspasterationspasterationspasterationspasterationspasterationsthanpythonlists.3)inthanypythonlists.3)andAreseNableAblequick

你可以通过使用pyenv、venv和Anaconda来管理不同的Python版本。1)使用pyenv管理多个Python版本:安装pyenv,设置全局和本地版本。2)使用venv创建虚拟环境以隔离项目依赖。3)使用Anaconda管理数据科学项目中的Python版本。4)保留系统Python用于系统级任务。通过这些工具和策略,你可以有效地管理不同版本的Python,确保项目顺利运行。

numpyarrayshaveseveraladagesoverandastardandpythonarrays:1)基于基于duetoc的iMplation,2)2)他们的aremoremoremorymorymoremorymoremorymoremorymoremoremory,尤其是WithlargedAtasets和3)效率化,效率化,矢量化函数函数函数函数构成和稳定性构成和稳定性的操作,制造


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