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pickle The Pickle module and its equivalent module cpickle provide pickle support to Python. The latter is encoded in C, which has better performance and is recommended for most applications. We'll continue with the discussion of pickle, but the example in this article is actually taking advantage of Cpickle. Since most of these examples are to be shown with the Python shell, let's show you how to import Cpickle and reference it as a pickle: Copy Code code as follows: >>> Import

(): global skey, wxsid, wxuin, pass_ticket, baseRequestrequest = getRequest (url = redirect_uri) response = wdf_urllib.urlopen (request) data = response. read (). decode ('utf-8', 'replace') # Print (data) doc = xml. dom. minidom. parseString (data) root = doc.doc umentElementfor node in root. childNodes: if node. nodeName = 'skey': skey = node. childNodes [0]. dataelif node. nodeName = 'wxsid ': wxsid = node. childNodes [0]. dataelif node. nodeName = 'wxuin': wxuin = node. childNodes [0]. data

the Command parameter here.0x05 Memory Dumping Powershell can also do the same job as procdump to get the dumps of a process. In this example, the dumps of lsass.exe is obtained, and Mimikatz is used to obtain plaintext from dumps. Then download the lsass dumps file and use Mimikatz for analysis to obtain the plaint

Advantages of generating dump files over common debugging technologies: 1. It can capture bugs that cannot be reproduced or are difficult to reproduce; 2. Large programs and programs controlled by a large number of threads are very slow or difficult to debug with GDB. Core Dumps Sometimes the crashes are difficult to reproduce, the program is vastly threaded, it's too slow to run in GDB or it's messed up when run through it (shouldn't surprise anyb

JSON module JSON (JavaScript Object Notation) is a lightweight data interchange format. It is based on a subset of ECMAScript. JSON takes a completely language-independent text format, but also uses a similar idiom to the C language family (c, C + +, Java, JavaScript, Perl, Python, and so on). These features make JSON an ideal data exchange language. Easy to read and write, but also easy to machine parse and generate (typically used to improve network transfer rates).JSON is made up of lists and

states that "there are some important new software packages added to standard libraries, such as multiprocessing and json, but compared with python 3, 2.6 of these packages will not introduce more new features. "Therefore, if you install Python or a later version of shoes, you do not need to download the json package. you can directly import the json package as needed. in the Lib under the installation directory, see the two packages (Click here to read the source code carefully, there will be

(memory or CPU) in progress, we can pass performance The snapshot button of the Analysis Results toolbar generates Profiler snapshots to capture profiling data at that time. Figure 13. Profiler Snapshot Application Snapshot: We can right click on the application node in the Left Applications window and select "Application Snapshot to generate an application snapshot. Application snapshots Collect heap dumps for a moment, thread

splits the object.Print 'DATA:', repr (data)Print 'repr (data):', Len (repr (data))Print 'dumps (data):', Len (json.dumps (data))Print 'dumps (data, indent=2):', Len (json.dumps (data, indent=4))Print 'dumps (data, separators):', Len (json.dumps (Data, separators= (',',':')))Output:DATA: {' A ': 123, ' C ': 456, ' B ': 789}REPR (data): 30Dumps (data): 30Dumps (d

Mediawiki import database download: http://zh.wikipedia.org/wiki/Wikipedia:%E6%95%B0%E6%8D% AE %E5%BA%93%E4%B8%8B%E8%BD%BDMediaWiki data import Method Use the php Command that comes with MediaWiki: mwdumper.Manual: Importing XML dumps This page describes methodsImport XML dumps. Contents[Hide] 1 How to import? 1.1 Using Special: Import 1.1.1 Changing permis

Crawler-json module and jsonpath module, crawler jsonjsonpath JSON (JavaScript Object Notation) is a lightweight data exchange format, which makes it easy for people to read and write. It also facilitates machine parsing and generation. Suitable for Data Interaction scenarios, such as data interaction between the front-end and backend of a website. JSON is comparable to XML. Python 3.x comes with the JSON module, which can be used directly by importing json. Official documents: http://docs.pytho

A Brief Introduction to JSON usage in Python and a brief introduction to pythonjson JSON advanced Python dict objects can be directly serialized into JSON {}. However, many times we prefer to use class to represent objects, such as defining the Student class, and then serialize: import jsonclass Student(object): def __init__(self, name, age, score): self.name = name self.age = age self.score = scores = Student('Bob', 20, 88)print(json.dumps(s)) Run the code and get a TypeError without

in the Web page, very convenient.JSON represents objects that are standard JavaScript language objects, and JSON and Python have built-in data types that correspond to the following: JSON type Python type {} Dict [] List "String" ' Str ' or U ' Unicode ' 1234.56 int or float True/false True/false Null None Python's built-in json modules provide

])'wzesmiwzldrd.wsphqc0gr7vuqivlsukj0ietdgo' >>> s.loads ('wzesmiwzldrd.wsphqc0gr7vuqivlsukj0ietdgo') [1, 2, 3, 4]VI. JSON Web SignatureJSON Web Signatures Starting with "itsdangerous" 0.18 JSON Web Signatures is also supported. They generally work very similar to the already existing URL safe serializer but would emit headers according to the Curren T Draft (Ten) of the JSON Web Signature (JWS) [ Draft-ietf-jose-json-web-signature ]. from Import Jsonwebsignatureserializer>>> s = Jsonwebsignat

;> sys.getdefaultencoding()‘utf-8‘>>> sys.getfilesystemencoding()‘mbcs‘ 1 2 3 4 5 2. JSON moduleJSON (JavaScript Object Notation) is a lightweight data interchange format. Easy for people to read and write. It is also easy for machine parsing and generation.The data format can be easily understood as a collection of key-value pairs (A collection of name/value pairs). In different languages, it is understood as objects (object), record (record), structure (struct), D

" "module: Contains Python definition and declaration of the file, a py file is a Module 1, built-in module Python interpreter comes with Module 2, extension module, the module developed by Daniel, need to download using 3, custom module of the module itself * * * * Serialization module JSON Pickle Shelvejson can be used to serialize data types in different languages into strings, support str,list,dict,bool These data types pickle only available in the Python language, and support all Python dat

absolute path to the current fileOs.path.dirname: Gets the parent directory of the current file . Sys.path.append (Lujin): Adds the acquired path to the system environment variable. 3. Import optimization(1) Import module_nameModule_name.name (). The essence: First find the module, looking for the method under the module . "Finding more is inefficient. "(2) from module_name import nameName (): essence: Take the method in the module to the specified position to execute it again. The process of

that when the file is opened open() with UTF-8 encoding Open, at dump() the time also add ensure_ascii=false, Otherwise it will become ASCII code written to the JSON filejson.dump(all_house,f,ensure_ascii=False,sort_keys=True, indent=4) Json.dumps ()/json.loads () etc usagejson_str = json.dumps(all_house,ensure_ascii=False); #all——books 为列表、字典等python自带的数据结构，将其写成json#print json_str; #[{"brokername": "王东宇"},{},{}]new_dict = json.loads(json_str);#主要是读json文件时，需要用到#print new_dict; #{u'house_are

First, what is called serialization The process of converting an original dictionary, list, and other content into a string is called serialization.Second, the purpose of serialization1. Persist the custom object in some form of storage;2. Transfer objects from one place to another.3, make the program more maintenance.ThreeOnly strings can be written to the fileOnly bytes---strings that can be transmitted over the networkConverts the content to be transmitted and the contents to be stored into

One, the JSON module1. DefinitionThe process of converting dictionaries, lists, and so on into strings is serialization.The operation has a limited data type, but can support all programming language operations.　　2, why should there be serialization?1. Persist the custom object in some form of storage.2. Passing objects3, is the program more maintenance3. Four functions (Dumps,loads,dump,load)Dumps loads　　I

that when the file is opened open() with UTF-8 encoding Open, at dump() the time also add ensure_ascii=false, Otherwise it will become ASCII code written to the JSON filejson.dump(all_house,f,ensure_ascii=False,sort_keys=True, indent=4) Json.dumps ()/json.loads () etc usage json_str = json.dumps(all_house,ensure_ascii=False); #all——books 为列表、字典等python自带的数据结构，将其写成json#print json_str; #[{"brokername": "王东宇"},{},{}]new_dict = json.loads(json_str);#主要是读json文件时，需要用到#print new_dict; #{u'house_are