python memory profiler

manipulating strings, using Stringio#!/usr/bin/python#-*-coding:utf-8-*-fromioimportstringiof= stringio () f.write (' Hello ') print (F.getvalue ()) run Result: Traceback (most recent): File "stringio.py", line 6, in In Python version 2.7 error, in Python 3 version of the normal operation, so Baidu a bit, theFrom IO import StringioSwitchFrom IO import Bytesio as

number and port number of the server you want to connect toSock.connect ((host, port))#The client enters a string to the serverMessage = Raw_input ("Inupt:") #pdb.set_trace ()sock.send (message)Print 'Serveroupt:'+ SOCK.RECV (2048)#Close the connection to the serversock.close ()if __name__=='__main__': Main ()The client is relatively simple, a very simple read user input, send to the server and then receive back such a simple function, after setting up the encoding of Chinese what is also po

Copy the Code code as follows: #!/usr/bin/env Python From __future__ import print_functionFrom collections Import Ordereddict Def meminfo ():"Return The information in/proc/meminfoAs a dictionary ' 'Meminfo=ordereddict () With open ('/proc/meminfo ') as F:For line in F:Meminfo[line.split (': ') [0]] = line.split (': ') [1].strip ()Return Meminfo If __name__== ' __main__ ':#print (Meminfo ())Meminfo = Meminfo ()Print (' Total

The return value of the ID method is the memory address of the object.Python allocates memory for each object that appears, even if their values are exactly equal (note that equality is not the same). If you execute a=2.0,b=2.0 these two statements will allocate memory for 2.0 of this type of float object, and then point A and B respectively to the two objects. S

Try this blog, the use of the words will be completely abandoned after the CSDN, change this!To use Python to get the memory information of the computer needs to use the Psutil module, the memory information that can be obtained is the total amount of memory, the total amount of available

In Windows programming, sometimes we often need to use some unconventional methods, such as loading the DLL from the memory and then using the functions in the DLL. So I thought about whether to combine several compiled Pyc files into one when using Python, then read the file dynamically, and divide the files according to the tag, obtain the pyc content of different modules and dynamically reference them to

": App.run (host=" 0.0.0.0 ", port= 8888,Debug=true) Here the use of the map JS for Highcharts, Highstock, the specific template page content is as follows: [Root@91it templates]# Cat mon.html Memory Monitor Highstock Example Note: The JS code here is directly using the code on the Internet, if the host can not connect to the Internet, the above three segments will be taken down, in the templat

[This article is from the Sky Cloud-owned blog Park]Online search, patchwork, assembled a Python script that can check Linux server CPU usage, memory usage, disk space occupancy, and load conditions.The script reads as follows:#-*-coding:utf-8-*--ImportOS, Timelast_worktime=0last_idletime=0defget_cpu ():GlobalLast_worktime, Last_idletime f=open ("/proc/stat","R") Line="" while not "CPU" inchLine:li

A memory-saving sparse matrix recommendation system for Python storage solutions often needs to process data such as user_id, item_id, and rating, which is actually a sparse matrix in mathematics, scipy provides the sparse module to solve this problem, but scipy. sparse has many problems that are not suitable for use: 1. it cannot support data [I,...] At the same time., data [..., j], data [I, j] fast slici

Python memory NoSQL Database #!/usr/bin/python#-*- coding: UTF-8 -*-## memdb.py# python memory db## 2015-12######################################################################### The MIT License (MIT)# http://opensource.org/licenses/MIT## Copyright (c) 2015 copyright

Python Gets the memory information of Linux1. Install Psutil Source codeHttps://pypi.python.org/pypi?:action=displayname=psutil#downloadsFind psutil-5.2.2.tar.gz Click to download Shell # tar XZVF psutil-5.2.2.tar.gzShell # CD psutil-5.2.2Shell # python setup.py Install2. Use Psutil to get memory informationTerminal in

A solution to memory leaks caused by misuse of logging modules in Python This article mainly introduces to solve the memory leak caused by the misuse of logging module in Python, because of the problem caused by too much UDP connection, the friend need to refer to the First introduced how to find it, the online proje

I. Memory (ID)1. Querying memory address (ID)' Alex ' Print = [All-in-one]print(LI) results are different for each output2. Determine if the same memory address (IS)Python 3.6.4 (V3.6.4:d48eceb, Dec, 06:54:40) [MSC v.1900 64bit (AMD64)] on Win32type" Help","Copyright","credits" or "License" forMore information.>>> na

1. Prerequisites for creating database and tabular format[Email protected] ~]# Mysql-uroot-pcentosmysql> CREATE database memory;mysql> use memory;Mysql> CREATE TABLE memory (memory int,time varchar (50));2. Write the system Use_mem memory to the database every second sleep[e

Python uses cStringIO to access temporary memory files, This example describes how python uses cStringIO to access temporary memory files. Share it with you for your reference. The specific analysis is as follows: If you want to read files from the network but do not want to save the files to the hard disk, you can u

Summary:Students often encounter the situation to deal with large files, now is the big Data age, some files frequently dozens of g, we in the processing of such a file when the memory is accidentally burst, or the program was forced to kill off.The reason is that you can read all the contents of the file into memory at once. Python has a way to read a file over

) forReqinchrequests] pool.wait ()#How to compare, threading defDeal_multi_thread (Self, data_list): Threads=list () forDatainchData_list:threads.append (Threading. Thread (Target=self.sub_task, args=(data,))) forTinchThreads:t.start () forTinchThreads:t.join ()defSub_task (self, data):returnif __name__=="__main__": Mem=Psutil. Process (Os.getpid ()). Memory_info (). RSSPrint "[main] mem%s"%Mem obj=TEST () obj.test () Mem=Psutil. Process (Os.getpid ()). Memory_info (). RSSPrint "[main] mem%s

Memory mapping a file does not cause the entire file to be read into memory. In other words, the file is not copied into the memory cache or array. Instead, the operating system retains only a certain amount of virtual memory for the file contents. When you access different areas of a file, the contents of those areas

Finally, it is important to understand the representation of variables in computer memory. When we write:a = ‘ABC‘, the Python interpreter did two things: A string is created in memory ‘ABC‘ ; A variable named in memory is created a and pointed to ‘ABC‘ . You can also assign a variable a to another va

Background: When reading a key value data, the Python dictionary structure causes memory usage to expand by about 10 times times and is not tolerated. This article solves this problemData: Word2vec The result of the training, word corresponds to a 400-D word vector. A total of 1.6G around the glossarySolution: Use Python's class array for resolution.Step: 1, convert raw data into Key,index and binary Value