搜索
首页后端开发Python教程How to use Python for xpath, JsonPath, and bs4?

1.xpath

1.1 xpath使用

  • google提前安装xpath插件,按ctrl + shift + x 出现小黑框

  • 安装lxml库 pip install lxml ‐i https://pypi.douban.com/simple

  • 导入lxml.etreefrom lxml import etree

  • etree.parse() 解析本地文件html_tree = etree.parse('XX.html')

  • etree.HTML() 服务器响应文件html_tree = etree.HTML(response.read().decode('utf‐8')

  • .html_tree.xpath(xpath路径)

1.2 xpath基本语法

1.路径查询

  • 查找所有子孙节点,不考虑层级关系 

  • 找直接子节点

2.谓词查询

//div[@id] 
//div[@id="maincontent"]

3.属性查询

//@class

4.模糊查询

//div[contains(@id, "he")] 
//div[starts‐with(@id, "he")]

5.内容查询

//div/h2/text()

6.逻辑运算

//div[@id="head" and @class="s_down"] 
//title | //price

1.3 示例

xpath.html

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8"/>
    <title>Title</title>
</head>
<body>
    <ul>
        <li id="l1" class="class1">北京</li>
        <li id="l2" class="class2">上海</li>
        <li id="d1">广州</li>
        <li>深圳</li>
    </ul>
</body>
</html>
from lxml import etree

# xpath解析
# 本地文件:                                          etree.parse
# 服务器相应的数据    response.read().decode(&#39;utf-8&#39;)  etree.HTML()


tree = etree.parse(&#39;xpath.html&#39;)

# 查找url下边的li
li_list = tree.xpath(&#39;//body/ul/li&#39;)
print(len(li_list))  # 4

# 获取标签中的内容
li_list = tree.xpath(&#39;//body/ul/li/text()&#39;)
print(li_list)  # [&#39;北京&#39;, &#39;上海&#39;, &#39;广州&#39;, &#39;深圳&#39;]

# 获取带id属性的li
li_list = tree.xpath(&#39;//ul/li[@id]&#39;)
print(len(li_list))  # 3

# 获取id为l1的标签内容
li_list = tree.xpath(&#39;//ul/li[@id="l1"]/text()&#39;)
print(li_list)  # [&#39;北京&#39;]

# 获取id为l1的class属性值
c1 = tree.xpath(&#39;//ul/li[@id="l1"]/@class&#39;)
print(c1)  # [&#39;class1&#39;]

# 获取id中包含l的标签
li_list = tree.xpath(&#39;//ul/li[contains(@id, "l")]/text()&#39;)
print(li_list)  # [&#39;北京&#39;, &#39;上海&#39;]
# 获取id以d开头的标签
li_list = tree.xpath(&#39;//ul/li[starts-with(@id,"d")]/text()&#39;)
print(li_list)  # [&#39;广州&#39;]
# 获取id为l2并且class为class2的标签
li_list = tree.xpath(&#39;//ul/li[@id="l2" and @class="class2"]/text()&#39;)
print(li_list)  # [&#39;上海&#39;]
# 获取id为l2或id为d1的标签
li_list = tree.xpath(&#39;//ul/li[@id="l2"]/text() | //ul/li[@id="d1"]/text()&#39;)
print(li_list)  # [&#39;上海&#39;, &#39;广州&#39;]

1.4 爬取百度搜索按钮的value

import urllib.request
from lxml import etree
url = &#39;http://www.baidu.com&#39;
headers = {
    &#39;User-Agent&#39;: &#39;Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36&#39;
}
request = urllib.request.Request(url=url, headers=headers)
response = urllib.request.urlopen(request)
content = response.read().decode(&#39;utf-8&#39;)
tree = etree.HTML(content)
value = tree.xpath(&#39;//input[@id="su"]/@value&#39;)
print(value)

Python xpath,JsonPath,bs4怎么使用

1.5 爬取站长素材的图片

# 需求 下载的前十页的图片
# https://sc.chinaz.com/tupian/qinglvtupian.html   1
# https://sc.chinaz.com/tupian/qinglvtupian_page.html
import urllib.request
from lxml import etree
def create_request(page):
    if (page == 1):
        url = &#39;https://sc.chinaz.com/tupian/qinglvtupian.html&#39;
    else:
        url = &#39;https://sc.chinaz.com/tupian/qinglvtupian_&#39; + str(page) + &#39;.html&#39;
    headers = {
        &#39;User-Agent&#39;: &#39;Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36&#39;,
    }
    request = urllib.request.Request(url=url, headers=headers)
    return request
def get_content(request):
    response = urllib.request.urlopen(request)
    content = response.read().decode(&#39;utf-8&#39;)
    return content
def down_load(content):
    #     下载图片
    # urllib.request.urlretrieve(&#39;图片地址&#39;,&#39;文件的名字&#39;)
    tree = etree.HTML(content)
    name_list = tree.xpath(&#39;//div[@id="container"]//a/img/@alt&#39;)
    # 一般设计图片的网站都会进行懒加载
    src_list = tree.xpath(&#39;//div[@id="container"]//a/img/@src2&#39;)
    print(src_list)
    for i in range(len(name_list)):
        name = name_list[i]
        src = src_list[i]
        url = &#39;https:&#39; + src
        urllib.request.urlretrieve(url=url, filename=&#39;./loveImg/&#39; + name + &#39;.jpg&#39;)
if __name__ == &#39;__main__&#39;:
    start_page = int(input(&#39;请输入起始页码&#39;))
    end_page = int(input(&#39;请输入结束页码&#39;))

    for page in range(start_page, end_page + 1):
        # (1) 请求对象的定制
        request = create_request(page)
        # (2)获取网页的源码
        content = get_content(request)
        # (3)下载
        down_load(content)

2. JsonPath

2.1 pip安装

pip install jsonpath

2.2 jsonpath的使用

obj = json.load(open(&#39;json文件&#39;, &#39;r&#39;, encoding=&#39;utf‐8&#39;)) 
ret = jsonpath.jsonpath(obj, &#39;jsonpath语法&#39;)

JSONPath语法元素和对应XPath元素的对比:

Python xpath,JsonPath,bs4怎么使用

示例:

jsonpath.json

{ "store": {
    "book": [
      { "category": "修真",
        "author": "六道",
        "title": "坏蛋是怎样练成的",
        "price": 8.95
      },
      { "category": "修真",
        "author": "天蚕土豆",
        "title": "斗破苍穹",
        "price": 12.99
      },
      { "category": "修真",
        "author": "唐家三少",
        "title": "斗罗大陆",
        "isbn": "0-553-21311-3",
        "price": 8.99
      },
      { "category": "修真",
        "author": "南派三叔",
        "title": "星辰变",
        "isbn": "0-395-19395-8",
        "price": 22.99
      }
    ],
    "bicycle": {
      "author": "老马",
      "color": "黑色",
      "price": 19.95
    }
  }
}
import json
import jsonpath

obj = json.load(open(&#39;jsonpath.json&#39;, &#39;r&#39;, encoding=&#39;utf-8&#39;))

# 书店所有书的作者
author_list = jsonpath.jsonpath(obj, &#39;$.store.book[*].author&#39;)
print(author_list)  # [&#39;六道&#39;, &#39;天蚕土豆&#39;, &#39;唐家三少&#39;, &#39;南派三叔&#39;]

# 所有的作者
author_list = jsonpath.jsonpath(obj, &#39;$..author&#39;)
print(author_list)  # [&#39;六道&#39;, &#39;天蚕土豆&#39;, &#39;唐家三少&#39;, &#39;南派三叔&#39;, &#39;老马&#39;]

# store下面的所有的元素
tag_list = jsonpath.jsonpath(obj, &#39;$.store.*&#39;)
print(
    tag_list)  # [[{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;六道&#39;, &#39;title&#39;: &#39;坏蛋是怎样练成的&#39;, &#39;price&#39;: 8.95}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;天蚕土豆&#39;, &#39;title&#39;: &#39;斗破苍穹&#39;, &#39;price&#39;: 12.99}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;唐家三少&#39;, &#39;title&#39;: &#39;斗罗大陆&#39;, &#39;isbn&#39;: &#39;0-553-21311-3&#39;, &#39;price&#39;: 8.99}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;南派三叔&#39;, &#39;title&#39;: &#39;星辰变&#39;, &#39;isbn&#39;: &#39;0-395-19395-8&#39;, &#39;price&#39;: 22.99}], {&#39;author&#39;: &#39;老马&#39;, &#39;color&#39;: &#39;黑色&#39;, &#39;price&#39;: 19.95}]

# store里面所有东西的price
price_list = jsonpath.jsonpath(obj, &#39;$.store..price&#39;)
print(price_list)  # [8.95, 12.99, 8.99, 22.99, 19.95]

# 第三个书
book = jsonpath.jsonpath(obj, &#39;$..book[2]&#39;)
print(book)  # [{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;唐家三少&#39;, &#39;title&#39;: &#39;斗罗大陆&#39;, &#39;isbn&#39;: &#39;0-553-21311-3&#39;, &#39;price&#39;: 8.99}]

# 最后一本书
book = jsonpath.jsonpath(obj, &#39;$..book[(@.length-1)]&#39;)
print(book)  # [{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;南派三叔&#39;, &#39;title&#39;: &#39;星辰变&#39;, &#39;isbn&#39;: &#39;0-395-19395-8&#39;, &#39;price&#39;: 22.99}]
# 	前面的两本书
book_list = jsonpath.jsonpath(obj, &#39;$..book[0,1]&#39;)
# book_list = jsonpath.jsonpath(obj,&#39;$..book[:2]&#39;)
print(
    book_list)  # [{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;六道&#39;, &#39;title&#39;: &#39;坏蛋是怎样练成的&#39;, &#39;price&#39;: 8.95}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;天蚕土豆&#39;, &#39;title&#39;: &#39;斗破苍穹&#39;, &#39;price&#39;: 12.99}]

# 条件过滤需要在()的前面添加一个?
# 	 过滤出所有的包含isbn的书。
book_list = jsonpath.jsonpath(obj, &#39;$..book[?(@.isbn)]&#39;)
print(
    book_list)  # [{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;唐家三少&#39;, &#39;title&#39;: &#39;斗罗大陆&#39;, &#39;isbn&#39;: &#39;0-553-21311-3&#39;, &#39;price&#39;: 8.99}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;南派三叔&#39;, &#39;title&#39;: &#39;星辰变&#39;, &#39;isbn&#39;: &#39;0-395-19395-8&#39;, &#39;price&#39;: 22.99}]
# 哪本书超过了10块钱
book_list = jsonpath.jsonpath(obj, &#39;$..book[?(@.price>10)]&#39;)
print(
    book_list)  # [{&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;天蚕土豆&#39;, &#39;title&#39;: &#39;斗破苍穹&#39;, &#39;price&#39;: 12.99}, {&#39;category&#39;: &#39;修真&#39;, &#39;author&#39;: &#39;南派三叔&#39;, &#39;title&#39;: &#39;星辰变&#39;, &#39;isbn&#39;: &#39;0-395-19395-8&#39;, &#39;price&#39;: 22.99}]

3. BeautifulSoup

3.1 基本简介

1.安装

 pip install bs4 

2.导入

 from bs4 import BeautifulSoup 

3.创建对象 

  •  服务器响应的文件生成对象 soup = BeautifulSoup(response.read().decode(), 'lxml') 

  • 本地文件生成对象 soup = BeautifulSoup(open('1.html'), 'lxml') 

注意:默认打开文件的编码格式gbk所以需要指定打开编码格式utf-8

3.2 安装以及创建

1.根据标签名查找节点 
	soup.a 【注】只能找到第一个a 
		soup.a.name 
		soup.a.attrs 
2.函数 
	(1).find(返回一个对象) 
		find(&#39;a&#39;):只找到第一个a标签
		find(&#39;a&#39;, title=&#39;名字&#39;) 
		find(&#39;a&#39;, class_=&#39;名字&#39;) 
	(2).find_all(返回一个列表) 
		find_all(&#39;a&#39;) 查找到所有的a 
		find_all([&#39;a&#39;, &#39;span&#39;]) 返回所有的a和span 
		find_all(&#39;a&#39;, limit=2) 只找前两个a 
	(3).select(根据选择器得到节点对象)【推荐】 
		1.element 
			eg:p 
		2..class 
			eg:.firstname 
		3.#id
			eg:#firstname 
		4.属性选择器 
			[attribute] 
				eg:li = soup.select(&#39;li[class]&#39;) 
			[attribute=value] 
				eg:li = soup.select(&#39;li[class="hengheng1"]&#39;) 
		5.层级选择器 
			element element 
				div p 
			element>element 
				div>p 
			element,element 
				div,p 
					eg:soup = soup.select(&#39;a,span&#39;)

3.3 节点定位

1.根据标签名查找节点 
	soup.a 【注】只能找到第一个a 
		soup.a.name 
		soup.a.attrs 
2.函数 
	(1).find(返回一个对象) 
		find(&#39;a&#39;):只找到第一个a标签
		find(&#39;a&#39;, title=&#39;名字&#39;) 
		find(&#39;a&#39;, class_=&#39;名字&#39;) 
	(2).find_all(返回一个列表) 
		find_all(&#39;a&#39;) 查找到所有的a 
		find_all([&#39;a&#39;, &#39;span&#39;]) 返回所有的a和span 
		find_all(&#39;a&#39;, limit=2) 只找前两个a 
	(3).select(根据选择器得到节点对象)【推荐】 
		1.element 
			eg:p 
		2..class 
			eg:.firstname 
		3.#id
			eg:#firstname 
		4.属性选择器 
			[attribute] 
				eg:li = soup.select(&#39;li[class]&#39;) 
			[attribute=value] 
				eg:li = soup.select(&#39;li[class="hengheng1"]&#39;) 
		5.层级选择器 
			element element 
				div p 
			element>element 
				div>p 
			element,element 
				div,p 
					eg:soup = soup.select(&#39;a,span&#39;)

3.5 节点信息 

(1).获取节点内容:适用于标签中嵌套标签的结构 
	obj.string 
	obj.get_text()【推荐】 
(2).节点的属性 
	tag.name 获取标签名 
		eg:tag = find(&#39;li) 
			print(tag.name) 
	tag.attrs将属性值作为一个字典返回 
(3).获取节点属性 
	obj.attrs.get(&#39;title&#39;)【常用】 
	obj.get(&#39;title&#39;) 
	obj[&#39;title&#39;]
(1).获取节点内容:适用于标签中嵌套标签的结构 
	obj.string 
	obj.get_text()【推荐】 
(2).节点的属性 
	tag.name 获取标签名 
		eg:tag = find(&#39;li) 
			print(tag.name) 
	tag.attrs将属性值作为一个字典返回 
(3).获取节点属性 
	obj.attrs.get(&#39;title&#39;)【常用】 
	obj.get(&#39;title&#39;) 
	obj[&#39;title&#39;]

3.6 使用示例

bs4.html

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body>

    <div>
        <ul>
            <li id="l1">张三</li>
            <li id="l2">李四</li>
            <li>王五</li>
            <a href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" " class="a1">google</a>
            <span>嘿嘿嘿</span>
        </ul>
    </div>


    <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百度</a>

    <div id="d1">
        <span>
            哈哈哈
        </span>
    </div>

    <p id="p1" class="p1">呵呵呵</p>
</body>
</html>
from bs4 import BeautifulSoup
# 通过解析本地文件 来将bs4的基础语法进行讲解
# 默认打开的文件的编码格式是gbk 所以在打开文件的时候需要指定编码
soup = BeautifulSoup(open(&#39;bs4.html&#39;, encoding=&#39;utf-8&#39;), &#39;lxml&#39;)
# 根据标签名查找节点
# 找到的是第一个符合条件的数据
print(soup.a)  # <a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>
# 获取标签的属性和属性值
print(soup.a.attrs)  # {&#39;href&#39;: &#39;&#39;, &#39;id&#39;: &#39;&#39;, &#39;class&#39;: [&#39;a1&#39;]}
# bs4的一些函数
# (1)find
# 返回的是第一个符合条件的数据
print(soup.find(&#39;a&#39;))  # <a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>
# 根据title的值来找到对应的标签对象
print(soup.find(&#39;a&#39;, title="a2"))  # <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百度</a>

# 根据class的值来找到对应的标签对象  注意的是class需要添加下划线
print(soup.find(&#39;a&#39;, class_="a1"))  # <a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>

# (2)find_all  返回的是一个列表 并且返回了所有的a标签
print(soup.find_all(&#39;a&#39;))  # [<a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>, <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百度</a>]

# 如果想获取的是多个标签的数据 那么需要在find_all的参数中添加的是列表的数据
print(soup.find_all([&#39;a&#39;,&#39;span&#39;]))  # [<a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>, <span>嘿嘿嘿</span>, <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百</a><spa哈</span>]

# limit的作用是查找前几个数据
print(soup.find_all(&#39;li&#39;, limit=2))  # [<li id="l1">张三</li>, <li id="l2">李四</li>]

# (3)select(推荐)
# select方法返回的是一个列表  并且会返回多个数据
print(soup.select(&#39;a&#39;))  # [<a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>, <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百度</a>]

# 可以通过.代表class  我们把这种操作叫做类选择器
print(soup.select(&#39;.a1&#39;))  # [<a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>]

print(soup.select(&#39;#l1&#39;))  # [<li id="l1">张三</li>]

# 属性选择器---通过属性来寻找对应的标签
# 查找到li标签中有id的标签
print(soup.select(&#39;li[id]&#39;))  # [<li id="l1">张三</li>, <li id="l2">李四</li>]

# 查找到li标签中id为l2的标签
print(soup.select(&#39;li[id="l2"]&#39;))  # [<li id="l2">李四</li>]

# 层级选择器
#  后代选择器
# 找到的是div下面的li
print(soup.select(&#39;div li&#39;))  # [<li id="l1">张三</li>, <li id="l2">李四</li>, <li>王五</li>]

# 子代选择器
#  某标签的第一级子标签
# 注意:很多的计算机编程语言中 如果不加空格不会输出内容  但是在bs4中 不会报错 会显示内容
print(soup.select(&#39;div > ul > li&#39;))  # [<li id="l1">张三</li>, <li id="l2">李四</li>, <li>王五</li>]

# 找到a标签和li标签的所有的对象
print(soup.select(
    &#39;a,li&#39;))  # [<li id="l1">张三</li>, <li id="l2">李四</li>, <li>王五</li>, <a class="a1" href="" id=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" ">google</a>, <a href="" title=" rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow"  rel="external nofollow" a2">百度</a>]

# 节点信息
#    获取节点内容
obj = soup.select(&#39;#d1&#39;)[0]
# 如果标签对象中 只有内容 那么string和get_text()都可以使用
# 如果标签对象中 除了内容还有标签 那么string就获取不到数据 而get_text()是可以获取数据
# 我们一般情况下  推荐使用get_text()
print(obj.string)  # None
print(obj.get_text())  # 哈哈哈

# 节点的属性
obj = soup.select(&#39;#p1&#39;)[0]
# name是标签的名字
print(obj.name)  # p
# 将属性值左右一个字典返回
print(obj.attrs)  # {&#39;id&#39;: &#39;p1&#39;, &#39;class&#39;: [&#39;p1&#39;]}

# 获取节点的属性
obj = soup.select(&#39;#p1&#39;)[0]
#
print(obj.attrs.get(&#39;class&#39;))  # [&#39;p1&#39;]
print(obj.get(&#39;class&#39;))  # [&#39;p1&#39;]
print(obj[&#39;class&#39;])  # [&#39;p1&#39;]

3.7 解析星巴克产品名称

import urllib.request
url = &#39;https://www.starbucks.com.cn/menu/&#39;
response = urllib.request.urlopen(url)
content = response.read().decode(&#39;utf-8&#39;)
from bs4 import BeautifulSoup
soup = BeautifulSoup(content,&#39;lxml&#39;)
# //ul[@class="grid padded-3 product"]//strong/text()
# 一般先用xpath方式通过google插件写好解析的表达式
name_list = soup.select(&#39;ul[class="grid padded-3 product"] strong&#39;)
for name in name_list:
    print(name.get_text())

Python xpath,JsonPath,bs4怎么使用

以上是How to use Python for xpath, JsonPath, and bs4?的详细内容。更多信息请关注PHP中文网其他相关文章!

声明
本文转载于:亿速云。如有侵权,请联系admin@php.cn删除
Python:游戏,Guis等Python:游戏,Guis等Apr 13, 2025 am 12:14 AM

Python在游戏和GUI开发中表现出色。1)游戏开发使用Pygame,提供绘图、音频等功能,适合创建2D游戏。2)GUI开发可选择Tkinter或PyQt,Tkinter简单易用,PyQt功能丰富,适合专业开发。

Python vs.C:申请和用例Python vs.C:申请和用例Apr 12, 2025 am 12:01 AM

Python适合数据科学、Web开发和自动化任务,而C 适用于系统编程、游戏开发和嵌入式系统。 Python以简洁和强大的生态系统着称,C 则以高性能和底层控制能力闻名。

2小时的Python计划:一种现实的方法2小时的Python计划:一种现实的方法Apr 11, 2025 am 12:04 AM

2小时内可以学会Python的基本编程概念和技能。1.学习变量和数据类型,2.掌握控制流(条件语句和循环),3.理解函数的定义和使用,4.通过简单示例和代码片段快速上手Python编程。

Python:探索其主要应用程序Python:探索其主要应用程序Apr 10, 2025 am 09:41 AM

Python在web开发、数据科学、机器学习、自动化和脚本编写等领域有广泛应用。1)在web开发中,Django和Flask框架简化了开发过程。2)数据科学和机器学习领域,NumPy、Pandas、Scikit-learn和TensorFlow库提供了强大支持。3)自动化和脚本编写方面,Python适用于自动化测试和系统管理等任务。

您可以在2小时内学到多少python?您可以在2小时内学到多少python?Apr 09, 2025 pm 04:33 PM

两小时内可以学到Python的基础知识。1.学习变量和数据类型,2.掌握控制结构如if语句和循环,3.了解函数的定义和使用。这些将帮助你开始编写简单的Python程序。

如何在10小时内通过项目和问题驱动的方式教计算机小白编程基础?如何在10小时内通过项目和问题驱动的方式教计算机小白编程基础?Apr 02, 2025 am 07:18 AM

如何在10小时内教计算机小白编程基础?如果你只有10个小时来教计算机小白一些编程知识,你会选择教些什么�...

如何在使用 Fiddler Everywhere 进行中间人读取时避免被浏览器检测到?如何在使用 Fiddler Everywhere 进行中间人读取时避免被浏览器检测到?Apr 02, 2025 am 07:15 AM

使用FiddlerEverywhere进行中间人读取时如何避免被检测到当你使用FiddlerEverywhere...

Python 3.6加载Pickle文件报错"__builtin__"模块未找到怎么办?Python 3.6加载Pickle文件报错"__builtin__"模块未找到怎么办?Apr 02, 2025 am 07:12 AM

Python3.6环境下加载Pickle文件报错:ModuleNotFoundError:Nomodulenamed...

See all articles

热AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover

AI Clothes Remover

用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool

Undress AI Tool

免费脱衣服图片

Clothoff.io

Clothoff.io

AI脱衣机

AI Hentai Generator

AI Hentai Generator

免费生成ai无尽的。

热门文章

R.E.P.O.能量晶体解释及其做什么(黄色晶体)
3 周前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.最佳图形设置
3 周前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.如果您听不到任何人,如何修复音频
3 周前By尊渡假赌尊渡假赌尊渡假赌
WWE 2K25:如何解锁Myrise中的所有内容
4 周前By尊渡假赌尊渡假赌尊渡假赌

热工具

螳螂BT

螳螂BT

Mantis是一个易于部署的基于Web的缺陷跟踪工具,用于帮助产品缺陷跟踪。它需要PHP、MySQL和一个Web服务器。请查看我们的演示和托管服务。

MinGW - 适用于 Windows 的极简 GNU

MinGW - 适用于 Windows 的极简 GNU

这个项目正在迁移到osdn.net/projects/mingw的过程中,你可以继续在那里关注我们。MinGW:GNU编译器集合(GCC)的本地Windows移植版本,可自由分发的导入库和用于构建本地Windows应用程序的头文件;包括对MSVC运行时的扩展,以支持C99功能。MinGW的所有软件都可以在64位Windows平台上运行。

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

功能强大的PHP集成开发环境

EditPlus 中文破解版

EditPlus 中文破解版

体积小,语法高亮,不支持代码提示功能

禅工作室 13.0.1

禅工作室 13.0.1

功能强大的PHP集成开发环境