to get fast response from the server use small sizetry:#Create an AF_INET (IPv4), STREAM socket (TCP)tcp_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)exceptsocket.error, e:print'Error occurred while creating socket. Error code: '+str(e[0]) +' , Error...
fileName = basename(urlsplit(m[1])[2])try: img = urllib2.urlopen('https:'+ m[1]).read() file =open(fileName,"w") file.write(img) file.close()except:passbreak 第一个for 循环迭代下载的网页中的行。第二个for 循环使用正则表达式模式搜索每一行的图像 URL。 如果找到模式,则使用urlparse...
import time id = [x for x in range(0, 100000)] price = [x for x in range(200000, 300000)] products = list(zip(id, price)) # 计算列表版本的时间 start_using_list = time.perf_counter() find_unique_price_using_list(products) end_using_list = time.perf_counter() print("time el...
# Import dataset midwest = pd.read_csv("./datasets/midwest_filter.csv") # Prepare Data # Create as many colors as there are unique midwest['category'] categories = np.unique(midwest['category']) colors = [ plt.cm.Set1(i / float(len(categories) - 1)) for i in range(len(categories...
添加了缩进选项,以dump()使其产生多行缩进输出。ast.unparse()作为ast模块中的功能添加,可用于解析ast.AST对象并生成带有代码的字符串,该代码ast.AST在解析时会生成等效的对象。 向包含用于构造该节点的ASDL签名的AST节点添加了文档字符串。 asyncio 由于重大安全问题,删除了asyncio.loop.create_datagram_endpoint()...
# 批量获取不同企业的id值 url = '' # 参数的封装 id_list = [] # 存储企业的id all_data_list = [] # 存储所有的企业详情数据 for page in range(1, 6): page = str(page) data = { } json_ids = requests.post(url=url, headers=headers, data=data).json() for dic in json_ids['...
9. 10. 我们继续...,那个1号Code很重要,可能包括断点,访问异常或者内存访问错误。我们首先捕捉第一个windows设置的断点吧 运行结果: 可以在1号code处输出信息啦 3.4 全能的断点 1. 软件断点 我们要将0xCC写入内存,原来的指令也要读取出来吧 用的两个API ReadProcessMemory和WriteProcessMemory 加了这几个函数...
xrange() of Python 2.x doesn't exist in Python 3.x. In Python 2.x, range returns a list i.e. range(3) returns [0, 1, 2] while xrange returns a xrange object i. e., xrange(3) returns iterator object which works similar to Java iterator and generates number when needed....
写法(初始化一个生成器):(i for i in range(100000)) def generator(k): i = 1 while True: yield i ** k i += 1 g1 = generator(1) print(g1) g3 = generator(3) print(g3) def get_sum(n): s1, s3 = 0, 0 for i in range(n): n1 = next(g1) n2 = next(g3) print(f...
array[-1] array[array.length-1] array[3:5] = [7, 8, 9] [].splice.apply(array, [3, 5-3].concat([ 7, 8, 9 ])) [5 to 15] Array.apply(null, {length: 11}).map(Number.call, function(n){ return n+5; }) [a**2 for a in array] // Really, really long for-loop c...