Cookie用于服务器实现会话,用户登录及相关功能时进行状态管理。要在用户浏览器上安装cookie,HTTP服务器向HTTP响应添加类似以下内容的HTTP报头:
代码如下:
Set-Cookie:session=8345234;expires=Sun,15-Nov-2013 15:00:00 GMT;path=/;domain=baidu.com
expires是cookie的生存周期,path是cookie的有效路径,domain是cookie的有效域.
路径"path"用于设置可以读取一个cookie的最顶层的目录.将cookie的路径设置为你的网页最顶层的目录可以让该该目录下的所有网页都能访问该cookie.
方法:在你的cookie中加入path=/; 如果你只想让"food" 目录中的网页可以使用该cookie,则你加入path=/food.
domain:有些网站有许多小的域名,例如百度可能还在"news.baidu.com" "zhidao.baidu.com" 和"v.baidu.com" 域名下有网页.如果想让"baidu.com"下的所有机器都可以读取该cookie,必须在cookie中加入 "domain=.baidu.com" .
用户浏览器会存储Cookie直到过期,浏览器会向符合path和domain的服务器发送类似以下内容的HTTP请求报头:
Cookie:session=8345234。
例如,登陆www.baidu.com的时候,百度服务器发送回的HTTP响应报头中cookie是:
代码如下:
Set-Cookie:H_PS_PSSID=4681_4567_1452_9876_4759; path=/; domain=.baidu.com
Set-Cookie:BDSVRTM=74; path=/
浏览器的HTTP请求报头:
代码如下:
Cookie:BAIDUID=0FD996SDFG12********107B9C227F4C:FG=1; locale=zh; bdshare_firstime=1384567418140; NBID=D830DD2345HH2818A9F4134E5A2D778D3B:FG=1; H_PS_LC=4_shadu2014; BD_CK_SAM=1; H_PS_PSSID=4681_4567_1452_9876_4759
浏览器将cookie发送回HTTP服务器时,使用key=value字符串的编码形式,不返回expires,path和domain等可选属性。
cookie字符串通常位于HTTP_COOKIE环境变量中,可以如下读取:
代码如下:
import os
print "Content-type: text/plain\n"
if "HTTP_COOKIE" in os.environ:
print os.environ["HTTP_COOKIE"]
else:
print "HTTP_COOKIE not set!"
Python中Cookie模块(python3中为http.cookies)提供了一个类似字典的特殊对象SimpleCookie,其中存储并管理着称为Morsel的cookie值集合。
每个Morsel都有name,value以及可选属性(expires,path,domain,comment,max-age,secure,version,httponly)。
SimpleCookie可使用output()方法创建以HTTP报头形式表示的cookie数据输出,用js_output()方法生成包含javascript代码的字符串。
用HTTP_COOKIE生成cookie:
代码如下:
cookie=Cookie.SimpleCookie(os.environ['HTTP_COOKIE'])
print cookie.output()
set cookie:
代码如下:
import Cookie
import datetime
import random
expiration = datetime.datetime.now() + datetime.timedelta(days=30)
cookie = Cookie.SimpleCookie()
cookie["session"] = random.randint(1,1000000000)
cookie["session"]["domain"] = ".baidu.com"
cookie["session"]["path"] = "/"
cookie["session"]["expires"] = expiration.strftime("%a, %d-%b-%Y %H:%M:%S PST")
print "Content-type: text/plain"
print cookie.output()
print
print "Cookie set with: " + cookie.output()
输出:
代码如下:
Content-type: text/plain
Set-Cookie: session=155209565; Domain=.jayconrod.com; expires=Mon, 03-Mar-2014 07:42:47 PST; Path=/
Cookie set with: Set-Cookie: session=155209565; Domain=.jayconrod.com; expires=Mon, 03-Mar-2014 07:42:47 PST; Path=/

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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