


Program simulates browser request and session retention-python implementation
Reading the data of a page under python can be easily implemented through urllib2
import urllib2 print urllib2.urlopen('http://www.pythontab.com').read()
If it involves the POST request operation of the page, you need to provide header information, submitted post data and request page.
The post data needs urllib.encode(), which actually converts the dictionary into the format of "data1=value1&data2=value2".
import urllib import urllib2 HEADER = { 'User-Agent' : 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0', 'Referer' : 'http://202.206.1.163/logout.do' } POSTDATA = { 'data1': 'value1', 'data2': 'value2' } HOSTURL = 'http://xxx.com' enpostdata = urllib.urlencode(POSTDATA) urlrequest = urllib2.Request(hosturl,enpostdata,HEADER) urlresponse = urllib2.urlopen(urlrequest) print urlresponse.read()
After the request, the browser will have a session maintenance process. The session is saved in a cookie. The next page request will put the cookie in the request header. If the cookie is lost, the session will be disconnected. .
You need to set up cookie retention under python
# cookie set # 用来保持会话 cj = cookielib.LWPCookieJar() cookie_support = urllib2.HTTPCookieProcessor(cj) opener = urllib2.build_opener(cookie_support, urllib2.HTTPHandler) urllib2.install_opener(opener)
The following is a library file that summarizes the above knowledge points for easy use:
# filename: analogop.py #!/usr/bin/python # -*-coding:UTF-8 -*- # author: 初行 # qq: 121866673 # mail: zxbd1016@163.com # message: I need a python job # time: 2014/10/8 import urllib import urllib2 import cookielib # cookie set # 用来保持会话 cj = cookielib.LWPCookieJar() cookie_support = urllib2.HTTPCookieProcessor(cj) opener = urllib2.build_opener(cookie_support, urllib2.HTTPHandler) urllib2.install_opener(opener) # default header HEADER = { 'User-Agent' : 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0', 'Referer' : 'http://202.206.1.163/logout.do' } # operate method def geturlopen(hosturl, postdata = {}, headers = HEADER): # encode postdata enpostdata = urllib.urlencode(postdata) # request url urlrequest = urllib2.Request(hosturl, enpostdata, headers) # open url urlresponse = urllib2.urlopen(urlrequest) # return url return urlresponse
This is a test file because the reader has not tested it Environment, you need to build it yourself or find a website to test:
#filename: test.py from analogop import geturlopen postd = { 'usernum': '2011411111', 'upw': '124569', 'userip': '192.168.10.1', 'token': 'xxx' } urlread = geturlopen('http://127.0.0.1:8000/login/', postd) print urlread.read().decode('utf-8') urlread = geturlopen('http://127.0.0.1:8000/chafen/', {}) print urlread.read().decode('utf-8')

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.


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