reinforcement learning python library

.communicate () print (out)Subprocess. Pipe actually provides a buffer for text flow.The child1 stdout the text out to the buffer, and then Child2 's stdin reads the text from the pipe.The output text of the child2 is also stored in the pipe until the communicate () method reads the text from the pipe.Note that communicate () is a method of the Popen object that blocks the parent process until the child process finishes.We can also use the communicate () method to input a child process using a p

,input_dim=2)) Model.add (Activation (' Relu ')) Add elements of the model in turn dense layer (fully connected layer): mainly defines the main structure of input, output and hidden layer of the model. Dense (12,input_dim=2) is a hidden layer of 12 nodes, the input layer is 2 nodes, and the input layer must be the second parameter. activation function (Activation): can be self-contained in the Keras library, or it can be custom

process sends itself a SIGALRM signal, and then the signal handler function MyHandler begins execution.The core of the send signal signal packet is to set the signal processing function.In addition to the Signal.alarm () sends a signal to itself, there is no other function to send the signal.In the OS package, however, there are functions similar to the Linux Kill command, respectivelyOs.kill (PID, sid)OS.KILLPG (Pgid, sid)Send signals to process and process groups (see Linux process Relationsh

pathname and file name extension>>> Os.path.splitext (PATH)('/home/vamei/doc/file ', '. txt ')Os.path.splitunc (path) splits the path into the load point and fileOs.path.walk (path, visit, ARG) iterates through the path, entering each directory calls the visit function, and the visit function must have3 parameters (ARG, dirname, names), dirname represents the directory name of the current directory,Names represents all filenames under the current directory, and Args is the third parameter of wa

--version, the version number is displayed Print("Version 1.2") elifoption==" Help":#when the command line argument is--help, the Help content is displayed Print("") Else: Print("Unknown Option") Sys.exit ()Else: forFileNameinchSys.argv[1:]:#When the argument is a file name, pass in the Readfine and read its contentsReadFile (filename)Note that it is best to run the Linux environment before you can see the effect[Email protected] ~]$ Python3 test.py--version['test.

Two data structure series and dataframe.SeriesThe series is the same as a list in Python, with data and index values.Here we create a series object. Data values and indexes for series objects:The index of the list starts at 0, and the series is indexed by default, similar to the list starting with 0. However, you can also customize the index:Indexes can be redefined:Operation elements according to index:Series is also used in the form of dictionaries:

JSON module There was an eval function that could extract a corresponding data type from a string, such as "{" "Name": "Zhangsan"} "to extract a dictionary." JSON modules can do the same thing, but more powerful, Eval can only recognize the data structure of the Python language. JSON can recognize multi-language data structures Import of modulesImport JSON Encapsulates a data type in JSON format (string) with dumpsDIC = {"name":"cod

package The most common method is only one, Glob.glob (). The function of this method is similar to LS in Linux.Accepts a Linux-style file name format expression (filename pattern,Lists all files that conform to the expression (similar to regular expressions) and returns all filenames in one table.So Glob.glob () is a good way to query files in a directory.The syntax of the file name expression is different from the regular expression of Python itsel

(...) Match the closed regular expression, and then save as a subgroup; Use groups to embody \d+ (\.\d*)? A string representing a simple floating-point number; in other words, any decimal digit, followed by a decimal point and 0 or more decimal digits. Extended notation (?...) Provide a tag before the match is judged to achieve a pre-view (or post-visual) match or condition check (? P

.start () time.sleep (1) print ' main End 'Output Result:Setdaemon default is Falsemain startthread startmain endthread end Setdaemon set to Truemain startthread Startmain end　　As can be seen from the printed result, when set to true, the thread is still in the sleep process is over, so that the thread end of the sentence is not printed out.Of course, the thread class is more than these methods, these are just common methods, through Help (thread) can be viewed."

!accuracy:87.07%******************* SVM ********************Training took3831. 564000s!accuracy:94.35%******************* GBDT ********************In this data set, because the cluster of data distribution is better (if you understand this database, see its T-sne map can be seen.) Since the task is simple, it has been considered a toy dataset in the deep learning boundary, so KNN has a good effect. GBDT is a very good algorithm, in Kaggle and other bi

(path)#通配符 *: can match 0 or more of a filename segment, such as Dir/*.*, as above#要列出子目录文件, the subdirectory must be included in the schemaprint ' Path *: 'For name in Glob.glob (Pathname=path):print ' \ t ', name#匹配单字字符串print '? 'Path= ' path/a/? txtFor name in Glob.glob (Pathname=path):print ' \ t ', name#匹配区间字符串 (if the interval is between [a~z], you can match a string in more than oneprint ' [A-z] 'For path1 in Glob.glob (' Path/a/*[a-z0-9a-z].txt '):Print path1#glob官方标准地址: Https://docs.py

condition object to control the potential lock object.Wait () methodEquivalent to Cond_wait ()Notify_all ()Quite with Cond_broadcast ()Nofify ()Similar to the Notify_all () feature, but only wakes up a waiting thread, not allThreading. Semaphore ObjectSemaphore, which is the count lock. When creating an object, you can pass an integer as the upper limit of the count (Sema = threading. Semaphore (5)).It is similar to lock and has two methods for lock.Threading. Event ObjectWith threading. The co

[Artificial intelligence series] python Quepy library learning, pythonquepy Article 1 What is Quepy? Quepy is a Python framework to transform natural language problems in database query language queries. It can easily customize different types of problems for queries in natural languages and databases. Therefore, with

pages to achieve the goal.A use example of a cookie is shown below.1 ImportUrllib22 ImportCookielib3 #declaring a Cookiejar object instance to hold a cookie4Cookie =Cookielib. Cookiejar ()5 #Use the Httpcookieprocessor object of the URLLIB2 library to create a cookie processor6Handler=Urllib2. Httpcookieprocessor (Cookie)7 #build opener with handler8Opener =Urllib2.build_opener (handler)9 #The Open method here is the same as Urllib2 's Urlopen method

1. Get request#-*-coding:utf-8-*-Importrequestsurl_ip="http://b.com/index.php"Pyload= {'Cate': 1,'ID': 2}headers= {'user-agent':'mozilla/5.0 (Windows NT 10.0; WOW64) applewebkit/537.36 (khtml, like Gecko) chrome/60.0.3112.101 safari/537.36'}defuse_simple_requests (): R= Requests.get (Url_ip, Params=pyload, headers=headers)PrintR.url#resuest URL PrintR.headers#Response Header PrintR.text#response content (after encoding) PrintR.content#Response Content (no encoding) PrintR.status_code

Attribution propertyTree.write ("Xmltest.xml")#Delete a node forCountryinchRoot.findall ("Country"): Rank= Int (Country.find ('Rank'). Text)ifRank > 50: Root.remove (country) tree.write ("Output.xml")Modify and deleteCreate a new XML fileImportXml.etree.ElementTree as Etnew_xml= ET. Element ("NameList")#Creating the root nodePersoninfo = ET. Subelement (New_xml,"Personinfo", attrib={"enrolled":"yea"}) name= ET. Subelement (Personinfo,"name") Name.text="Alex Li" Age= ET. Subelement (Personinfo,"

The random module is the module used to generate the stochastic number. Importing the Random moduleImport Random Generates a random number of 0~1, floating-point numbers# Randomly generate a random number of 0~1 Print (Random.random ()) Generate any range of floating-point numbers# randomly take a range of floating-point numbers from the list Print (Random.uniform (1,3)) Generate an integer within [x, Y] Range# randomly generate a random number Print (Random.randint (1,3)) Gen

Preface : 工欲善其事, its prerequisite. Find deep learning data, found a python package:Theano. Then began to study, of course, the best information is the official website documents, did not find a better Chinese document, then recorded. Theano official website Tutorial. Deep learning tutorial:http://deeplearning.net/tutorial/.Theano install:http://deeplearning.net/s

])%H: Hours (24-hour, [0, 23])%I: Hour (12-hour). [0, 11])%j: Number of days in the year [001,366] (the day of the current year)%m: Month ([01,12])%M: Minutes ([00,59])%p:am or PM%s: Seconds (the range is [00,61]. Why not [00, 59], reference Python manual ~_~)%u: Week in the Year of the Week of the year), Sunday as the first day of the week%w: Today in this week's days, the range is [0, 6],6 represents Sunday%W: Week of the Year (the Week of the year)