python monitor memory usage

(Pattern, ' M ')) #默认为 "compact" regular expression The results are not the same. The following are some of the most common regex expressions : ^ matches the start of the string.$ matches the end of the string.\b matches the boundary of a word.\d matches any number.\d matches any non-numeric character.X? Matches an optional x character (in other words, it matches 1 or 0 x characters).x* matches 0 or more x characters.x+ matches 1 or more x characters.X{N,M} matches x characters, at least n tim

, if the return in the execution process, then directly throws Stopiteration terminates the iteration.Back to the top of the page another exampleAnother example of yield is from file reads. Calling the Read () method directly on a file object causes unpredictable memory consumption. A good approach is to use fixed-length buffers to continuously read the contents of the file. With yield, we no longer need to write an iterative class of read files, so w

Sometimes you need to use python to process binary data, such as accessing files and using socket operations, you can use the python struct module to process binary data in c. sometimes, you need to use python to process binary data, such as when accessing files or using sockets. in this case, you can use the python st

) True Each call to the FAB function generates a new instance of generator, each of which does not affect each other: 123456789101112131415161718 >>> f1 = fab(3) >>> f2 = fab(5) >>> print ‘f1:‘, f1.next() f1: 1 >>> print ‘f2:‘, f2.next() f2: 1 >>> print ‘f1:‘, f1.next() f1: 1 >>> print ‘f2:‘, f2.next() f2: 1 >>> print ‘f1:‘, f1.next() f1: 2 >>> print ‘f2:‘, f2.next() f2: 2 >>> print ‘f2:‘, f2.next() f2: 3 >>> print ‘f2:‘, f2.next() f2: 5 The function of return

interactive shell.We can see from Xragne's official help document that: The parameters and usages of xrange and range are the same. Just Xrange () returned is no longer a sequence, but a Xrange object. This object can generate numbers (that is, elements) within the specified range of parameters as needed. Because the Xrange object generates a single element on demand, instead of creating the entire list first, as in range. So, within the same range, Xrange takes up less

The example of this article analyzes the strong type usage of Python dynamic. Share to everyone for your reference. Specifically as follows: Python variable declarations and definitions Unlike C #, Python does not need to define its type before using a variable, try running the following example: ? 1

This article mainly introduces the usage of generators and yield statements in Python. generators are important knowledge points in advanced Python Programming. if you need them, refer to the following before starting the course, I asked the students to fill out a questionnaire that reflects their understanding of some concepts in

): def __call__ (self, x): print ' __call__ called, print x: ', x > gt;> >>> a = A () >>> a (' 123 ') __call__ called, print x: Look at a (' 123 ') This is the function of the call method, where a is actually a class object A instance object, the instance object can be like the function of the same argument and be called, is the function of the __call__ () method;Iv. usage of __del__ ()If the __new__ () and __init__ () functions are

This article mainly introduces the usage of functions (closures) in Python functions, and analyzes the definition and usage skills of Python closures Based on the instance form, for more information about how to use the Python closure, see the example in this article. We wil

This paper analyzes the dynamic strong type usage of Python. Share to everyone for your reference. Specific as follows: Python variable declaration and definition Unlike C #, Python does not need to define its type before using the variable, try running the following example: i = Print I As we can see from above, th

files to easily implement file reads:Listing 9. Another example of yield 123456789 def read_file(fpath): BLOCK_SIZE = 1024 with open(fpath, ‘rb‘) as f: while True: block = f.read(BLOCK_SIZE) if block: yield block else: return The above simply introduces the basic concepts and usage of yield, and yield is more powerful in Python 3, which we will discuss in subsequent articles.Note:

the importance, I used the library psutil.Of course, when using a third-party library, there is a problem, that is, how to install the library. After the query, pip install XXX is a relatively simple installation method, the dependency relationship is not to worry about.first install sudo apt-get python-dav, then sudo apt-get install Pip,pip install Psutil　　Otherwise it will prompt gcc what's wrong ...Use Psutil.cpu_percent (). You can see the CPU

The example in this paper describes how Python implements monitoring of port usage for several-pass devices. Share to everyone for your reference. Specific as follows: Recently due to work needs, the above requirements, the daily need to report operation and maintenance of the hundreds of number of devices port usage "", although there are ready-made network man

know how much ). There is also a standard option, which is described as: if the standard option is used, no memory alignment is available for any type. For example, in the second half of the applet, the first digit in the format string used is !, That is, the standard alignment mode of the big end mode. Therefore, the output is '\ x00 \ x00 \ x00 \ x01 \ x00 \ x02 \ x03 ', in this case, you can put the high address in the

variable in the fcn function;Both val4 and val5 are not member variables. although given by self., they are not initialized in the constructor. Let's take a look at the following code (# is followed by the running result ): inst1 = TestClass()inst2 = TestClass()print TestClass.val1 # 100print inst1.val1 # 100inst1.val1 = 1000 print inst1.val1 # 1000print TestClass.val1 # 100TestClass.val1 =2000 print inst1.val1 # 1000print TestClass.val1 # 2000print inst2.val1 # 2000 inst3 = TestCla

This article mainly introduces the usage of objects, methods, classes, instances, and functions in Python, and analyzes the usage skills of objects, methods, classes, instances, and functions from the object-oriented perspective, it has some reference value. if you need it, you can refer to the examples in this article to analyze

Python uses struct to process binary data (pack and unpack usage). sometimes, python must be used to process binary data, such as file access and socket operations. in this case, you can use the python struct module. you can use struct to process struct in C language. The three most important functions in the struc

good approach is to use fixed-length buffers to continuously read the contents of the file. With yield, we no longer need to write an iterative class of read files to easily implement file reads:Listing 9. Another example of yielddef read_file (Fpath): block_size = 1024x768 with open (Fpath, ' RB ') as F: While True: BLOCK = F.read (block_ SIZE) if block: yield block else: returnThe above simply introduces the b