c2960x stack module

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2018-06-27-python full stack Development day22-part2-xml module and RE module-Introduction to Regular expressions

Split ()    A=re.split ('ab','abc')Print (a)--[' ', ' C ']First split the AB, corresponding to match ab left nothing, so get the empty string, and ' C ', then AB again with C to match, no match on, output C2.11 Sub () Replace    A=re.sub ('\d','abc','fhsdk3fhsdk' )print(a)--fhsdkabcfhsdkA total of three parameters, the first is the way to match, the second is after the replacement of it, the third is to find the object, and then replace2.12compile () compilationMake the rules first, then you c

2018-06-25-python full Stack Development day21-part2-module Introduction

Time.time () timestampShow timestamps, that's how many seconds from 1970 to now.4.1.2 Time.localtime () structured time    Import Time Print (Time.localtime ())--time.struct_time (tm_year=2018, tm_mon=6, tm_mday=25, tm_hour=22, Tm_min=9, TM _sec=30, Tm_wday=0, tm_yday=176, tm_isdst=0)4.1.3 String Time4.2 Conversion between different time structures4.2.1 Timestamp conversion to structure time    A=Time.localtime (Time.time ())print(a)------time.struct_time (tm_year= 2018, Tm_mon=6, tm_mday=25,

Python full stack development "Tenth" Python Common Module II (time, random, OS, SYS, and serialization)

= ' r ') existing = f[' key ']f.close () print (existing)Since shelve does not record any modifications to the persisted object by default, we need to modify the default parameters at Shelve.open () or the object's modifications will not be saved.# set Writebackimport shelvef1 = Shelve.open (' shelve_file ') print (f1[' key ') f1[' key ' [' new_value '] = ' This is not here Before ' f1.close () F2 = Shelve.open (' Shelve_file ', writeback=true) print (f2[' key ') ' f2[' key ' [' new_value '] = '

Design and Implementation of Linux 2.4.x network protocol stack QoS module (TC)

and implements the service quality support module. The specific code is located in the net/sched/directory. In Linux, this function module is called traffic control (TC. First, let's take a look at the general process of sending data packets when the Linux network protocol stack does not have a TC module. 1. Note: The

Python full-stack Development 7. Module and several common modules and format knowledge supplement, pythonformat

Python full-stack Development 7. Module and several common modules and format knowledge supplement, pythonformatI. Module Classification One of the reasons for the popularity of Python is that it has a large number of third-party modules, so we don't have to re-create the wheel from scratch when writing code. Many of the functions to use have been written and enc

Python full stack development "Nineth" Python common module one (mainly re regular and collections)

') dd[' key1 '] = ' abc ' Print (dd[' Key1 ']) # Key1 presence Print (dd[' Key2 ']) # Key2 does not exist, returns the default value CounterThe purpose of the counter class is to track the number of occurrences of a value. It is an unordered container type, stored in the form of a dictionary key-value pair, where the element is counted as the key and its count as value. The count value can be any Interger (including 0 and negative numbers). The counter class is similar to bags or multisets in o

Python Full Stack Development Foundation "26th" (Concurrent.futures module, co-process, Greenlet, gevent)

): Server = socket (af_inet, Sock_stream) server.setsockopt (Sol_socket, SO_REUSEADDR, 1) server.bind ( (Ip,duankou)) Server.listen (5) While true:conn,addr = Server.accept () #等待链接 gevent.spawn (talk,conn,addr) #异步执行 (P =p Rocess (target=talk,args= (COON,ADDR)) # P.start ()) is equivalent to the two sentences in the open process Server.clos E () if __name__ = = ' __main__ ': Server (' 127.0.0.1 ', 8081) #客户端开了100个进程 #!usr/bin/env python#-*-coding:utf-8-*-from multiprocessing import processfr

Internship module Vue+java small full stack development (iii)

Internship module Vue+java small full stack development (iii)--dxBackgroundFirst of all, give yourself an answer: this blog I defined as (iii), because the previous two module page, the content is the same, but was changed several times the demand, has been dragged without uploading.Today is the real meaning of the full stack

Designing the Android Log module using the thread execution stack stacktraceelement

and thread. The 3rd is the method you are calling (the method that calls Getstacktrack).2. Log module DesignGenerate tag:private static String Generatetag (Stacktraceelement stack) {string tag = "%s.%s (l:%d)"; String className = Stack.getclassname (); className = classname.substring (Classname.lastindexof (".") +1); tag = String.Format (tag, Stack.getclassname (), Classname,stack.getlinenumber ()); tag =

Interface of a dynamic array stack Module

/*_##################################### ####################################### _## _ ## Interface of a dynamic array stack Module _ ## Author: xwlee _ ## Time: 2006.12.30 ### Chang'an University _ ## Development condition: win2003 SERVER + vc6.0 _## _ ## Stack. h file _####################################### ###################################*/ // Type of the

Interface of a stack Module

/*_##################################### ####################################### _## _ ## Interface of a stack Module _ ## Author: xwlee _ ## Time: 2006.12.30 ### Chang'an University _ ## Development condition: win2003 SERVER + vc6.0 _## _ ## Stack. h file _####################################### ###################################*/ // Type of the value stored

Python full stack development "11th" Python common Module Three (hashlib,configparser,logging)

write a format formater1, so you can Logger.addhandler (stream_handler) return Loggerlogger = MyLogger (' Logging.log ', File=false) logger.warning (' Cheerleader ') logger.debug (' Debug message ') The Ogging library provides multiple components: Logger, Handler, Filter, Formatter. The Logger object provides an interface that the application can use directly, handler sends logs to the appropriate destination, and filter provides a way to filter the log information formatter specify the log dis

Python full stack development, DAY6-module learning

Chapter Content Module Introduction Timedatetime Random Os Sys Shutil Jsonpickle Shelve XML processing YAML processing Configarser Hashlib Subprocess Logging First, Module introductionModule, a collection of code that implements a function with a single piece of code.Like functional programming and process-oriented programming, functional pro

Python Full stack learning--day39 (multiprocess module)

will be infinitely recursive to create the child process error. Therefore, you must use the IF __name__ = = ' __main__ ' to determine the part of the child process to protect it, and when you import it, it will not run recursively.To create a process using the process moduleTurns on child processes, start methods, and concurrency effects in a python process.Import Time fromMultiprocessingImportProcessdeff (name):Print('Hello', name)Print('I am the child process')if __name__=='__main__': P= Pro

Python Full Stack Development Foundation "24th" (using threading module thread, join and daemon threads, Gil and lock)

effect AH # Yes: Using jion immediately after start will certainly turn the execution of the 100 tasks into serial, without a doubt, the result of the final n is certainly 0, is safe, but the problem is join immediately after #start: all the code within the task is executed serially, and the lock, The only part of the lock that modifies the shared data is the serial # order from the data security aspect, both can be achieved, but it is obvious that the lock is more efficient. From threading imp

Python full stack Development 5. Several Common sorting algorithms and the data structure provided by the collections module, pythoncollections

Python full stack Development 5. Several Common sorting algorithms and the data structure provided by the collections module, pythoncollections During the interview, I often encounter some questions about the sorting algorithm. Here, I simply listed several of the most common sorting algorithms for you to learn. Maybe the interview will be useful in the future, the second half of this article introduces the

2018-06-27-python full stack development day23-logging, Configparser, Hashlib module

the configuration file2.1.1 View        Import configparserconfig=configparser. Configparser () config.read('example.ini')print(' bitbucket.org' in config)print(config[' bitbucket.org'['user'])2.1.2 to traverse the key of a file2.1.3 Increase    ImportConfigparserconfig=Configparser. Configparser () Config.read ('Example.ini')Print('bitbucket.org' inchconfig)Print(config['bitbucket.org']['User']) config.add_section ('Haibin') Config.set ('Haibin','K1','value') with open ('Example.ini','W') as

2018-06-26-python full Stack Development day22-part1-os,json,sys,pickle,shelve module Introduction

can improve compatibility3.1 Json.dumps ()    Import jsondic={'Alex':'+ '# Note the JSON-type string , all in double quotes, at which point the single quote a=json.dumps (DIC)print(a) {"Alex " " - "} # automatically outputs into double quotes, and is compatible with each platformThere is a shortcut, Json.dump (' Sjah ', f)The former is the data that needs to be written, and the latter is the file to be written, which is relatively fast3.2 Json.loads ()Take the JSON type string out, note that i

Python Full stack Development Foundation "20th" using multiprocessing module to open process

)) print ('%s Is Piao end '%self.name) if __name__ = = ' __main__ ': p1 = Piao (' alex ') P2 = Piao ( ' Wupeiqi ') p3 = Piao (' Yuanhao ') P1.start () P2.start () p3.start () print (' main process ', Os.getpid ())Getppid () Parent process IDGetpid () #当前进程idFive, multi-process implementation socket concurrency#服务端from Socket Import *from multiprocessing Import processs = socket (af_inet,sock_stream) s.setsockopt (sol_socket,so_ reuseaddr,1) S.bind ((' 127.0.0.1 ', 808

Python full stack development 5, several common sorting algorithms and the data structure provided by the collections module

) # Counter ({' d ': 2, ' B ': 2, ' h ': 1, ' K ':-4}) # elements returns an iterator to how many times the element was repeated in that iteration How many of the elements are included in the device. # Elements with a number less than 1 are not included. The number of k less than 1 is excluded from print (List (c1.elements ())) # [' H ', ' d ', ' d ', ' B ', ' B ']print (C1.most_common (2)) #取出出现次数最多2个元素 [(' B ', 2), (' d ', 2)]        Python full

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