python performance profiling

Let's talk about our school website: Http://jwxt.sdu.edu.cn: 7777/zhxt_bks/zhxt_bks.html To query the score, You need to log on and then display the score of each discipline, but only the score is displayed without the score, that is, the weighted average score. Obviously, it is very troublesome to manually calculate the performance point. So we can use python as a crawler to solve this problem. 1. the e

the run time accumulated in a function #Print_stats (3): Prints only the first 3 lines of function information, the parameter can also be a decimal, representing the first few percent of the function informationP.strip_dirs (). Sort_stats ("Cumulative"). Print_stats (3) #there is another way to useP.sort_stats (' Time','cum'). Print_stats (. 5,'Foo') #Sort by time, then by cumulative, and then down to the first 50% with function information #If you want to know which functions cal

have a much smaller variance than they were originally. Machines will be more convenient to learn.The data cleansing and transformation work is done.Decision TreeIf I read my loan or no loan: How can I use Python and machine learning to help you make a decision? Article, you should have a feeling--the question is like a loan approval decision! Since the decision tree is very good in this article, do we continue to use the decision tree?After testing,

NumPy is the foundation of many of the science packages in Python. It provides a special data type, Ndarray, which is optimized for vector computing. This object is the core of most algorithms in scientific numerical computation. Compared to native Python, the numpy array can be used to achieve significant performance acceleration, especially if your calculation

NumPy is the foundation of numerous scientific software packages in Python. It provides a special data type Ndarray, which is optimized for vector computing. This object is the core of most algorithms in scientific numerical computation. Compared to native Python, the use of numpy arrays can achieve significant performance acceleration, especially if your calcul

. analyze nmon datawith the above command, after the number of acquisitions arrives, the Xxxx.nmon file is generated in the specified directory , and the common way to analyze. Nmon files is to use nmon_analyser.xlsm, by importing A. Nmon file that displays data in an Excel file. three python parsing The posture of Nmonthrough the above analysis, the common method of obtaining Nmon file data is mainly applied in interactive mode, and it is not suit

Excerpt from: http://www.cnblogs.com/kaituorensheng/p/4516983.htmlfunction-type programmingThe imperative style of programming has become a de facto standard. Imperative programming programs are made up of statements that describe state transitions. While this is sometimes very effective, it can sometimes be quite different (such as complexity)-and it may seem less intuitive than a declarative approach to programming.If you don't understand what I'm talking about, it's normal. Here are some arti

This paper compares and analyzes the performance of Python's judging value in list or set. Share to everyone for your reference, as follows: Judging whether the value in the set set is significantly faster than the list, because the lookup set uses the hash, the time at the O (1) level. Assuming that ListA has 100w elements, Seta=set (ListA) is SetA the collection after the conversion of ListA.Here's a simple comparison: For I in xrange (0, 500000

Python methods and performance comparisons for obtaining letters at corresponding locations in the alphabet In some cases, we are asked to find out the alphabet in the order of the alphabet, a = 1,b = 2, C = 3, and so on, such as the topic https://projecteuler.net/problem=42 one step to solve the problem is to convert the letters to the corresponding order in the alphabet. The easiest way to get the alphab

test Environment: Processor i5-3230m,64 bit Ubuntu 14.04Python 2.7.6, php 5.4.39, PHP 7.0.0-dev (2015/04/21) Test content:Bubble sort: Sorts 10 ascending numbers, outputs in descending order, and loops 1 million times.Cumulative sum: 0+1+2+3+...+99999999 Bubble Sort Test results comparison:Program: Python PHP5 PHP7Time: 16.910s 14.715s 8.011sMemory: 35.8m 9.0m 12.5mWhen Python uses xrange instead, the mem

Now there are a lot of performance testing tools, such as our familiar LoadRunner, JMeter, AB, Webbench, and so on, these tools if to a useless friend, learning is not easy, but if you can read the Python code, will write better, You can try today's protagonist Locust, a python-based performance testing tool, its advan

some of the scenarios for Python performance improvements. One, function call optimization (space span, avoid access to memory) The core point of optimization of the program is to minimize the operation span, including the span of code execution time and the space span in memory. 1. Big Data summation, using sum A = range (100000)%timeit-n sum (a) loops, best of 3:3.15 ms per Loop%%timeit ...: s = 0 .

3-4 threads can significantly improve the performance. It may increase by about 2-3 times, but increasing the number of threads is a side effect. Multi-threaded system architecture: There is no bottleneck in sending and receiving. The main bottleneck lies in the red line, decode, and encode sections. Changing multithreading to multi-process is relatively simple and requires little work. You only need to change the information that requires multi-pro

This article mainly introduces how to use Python Tornado framework and memcached page to improve vLog performance. it mainly uses cache to improve performance. For more information, see Cause Blog is a set of systems that are not updated frequently, but every time you refresh the page, updating the database is a waste of resources. Adding static page generation

Title: Python Performance monitoring preliminaryAuthor: itdefLinks: http://www.cnblogs.com/itdef/p/3990765.htmlWelcome Reprint please keep the text complete and indicate the sourcePrevious performance statistics are used by C C + + statistics for Windows performanceLater I wanted to try to use the icon to display the data when