Python基础---->python的使用(二)，,　　学习一下pyth

　　学习一下python，这里对python的基础知识做一个整理。似等了一百年忽而明白，即使再见面，成熟地表演，不如不见。

python的一些应用

一、类似于java中的MessageFormat用法

word = "{0} love {1}"wordList = (‘huhx‘, ‘linux‘)print(word.format(*wordList))print(word.format(‘huhx‘, ‘linux‘))str_word = "{name} love {lover}"wordMap = dict(name=‘huhx‘, lover=‘linux‘)print(str_word.format(name=‘huhx‘, lover=‘linux‘))print(str_word.format(**wordMap))print(str_word.format_map(wordMap))

打印结果都是：huhx love linux

二、关于正则中贪心匹配的理解

import redata = ‘Thu Feb 15 17:46:04 2007::uzifzf@dpyivihw.gov::1171590364-6-8‘print(re.search(‘\d+-\d+-\d+‘, data).group()) # 1171590364-6-8print(re.match(‘.+\d+-\d+-\d+‘, data).group()) # Thu Feb 15 17:46:04 2007::uzifzf@dpyivihw.gov::1171590364-6-8print(re.match(‘.+(\d+-\d+-\d+)‘, data).group(1)) # 4-6-8print(re.match(‘.+?(\d+-\d+-\d+)‘, data).group(1)) # 1171590364-6-8

三、python中简单的json请求

import http.clientimport jsonconn = http.client.HTTPConnection("hostname")data = {    ‘TellerId‘: ‘***‘,    ‘Password‘: ‘***‘}payload = json.dumps(data)headers = {    ‘content-type‘: "application/json"}conn.request("POST", "/mweb/login.do", payload, headers)res = conn.getresponse()data = res.read()print(data.decode("utf-8"))

四、python中简单的mysql连接

首先可以通过：pip install pymysql安装pymysql。

import pymysqldb = pymysql.connect("localhost","root","pass","database", charset=‘utf8‘)cur = db.cursor()cur.execute(‘select * from puser‘)for i in cur.fetchall():    print(str(i))db.close()

五、python中使用sftp连接的简单使用

首先可以通过：pip install paramiko安装sftp的支持

import paramikohost = ‘hostname‘port = 22user = ‘root‘passwd = ‘password‘# 创建SSH对象ssh = paramiko.SSHClient()# 允许连接不在know_hosts文件中的主机ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())# 连接服务器ssh.connect(hostname=host, port=port, username=user, password=passwd)# 执行命令stdin, stdout, stderr = ssh.exec_command(‘ls -al‘)# 获取命令结果result = stdout.read()print(result)# 关闭连接ssh.close()

六、python简单连接操作redis

首先启动redis服务，然后下载python的redis包：pip install redis。

import redisr = redis.Redis(host=‘127.0.0.1‘,port=6379)r.set(‘name‘, ‘linux‘)print(r.get(‘name‘)) # linux

七、python简单的dom对xml的解析

from xml.dom.minidom import parseimport xml.dom.minidomDOMTree = xml.dom.minidom.parse("huhx.xml")collection = DOMTree.documentElementpersons = collection.getElementsByTagName(‘person‘)for person in persons:    if person.hasAttribute(‘name‘):        print(‘my name is %s: ‘ % person.getAttribute(‘name‘))    age = person.getElementsByTagName(‘age‘)[0].childNodes[0].data    address = person.getElementsByTagName(‘address‘)[0].childNodes[0].data    print(‘age = %d, address = %s.‘ % (int(age), address))

测试的huhx.xml文件如下：

<persons>    <person name="huhx">        <age>12</age>        <address>wuhan</address>    </person>    <person name="linux">        <age>1</age>        <address>hubai</address>    </person></persons>

运行的结果如下：

my name is huhx: age = 12, address = wuhan.my name is linux: age = 1, address = hubai.

八、python中csv文件的读写

　　csv文件可以在excel表中建立数据，最后保存的时候存为csv格式的文件。

先看一个读取csv文件的内容，测试的huhx.csv文件内容如下：

import csvcsvFile = open(‘huhx.csv‘, ‘r‘)reader = csv.reader(csvFile)for item in reader:    for subItem in item:        print(subItem, end=" ")    print()

运行的结果如下：

姓名 年龄 地址 huhx 23 china linux 24 hubai liuling 21 wuhan 

python写入内容到csv文件

import csvfileHeader = [‘username‘, ‘age‘, ‘address‘]data1 = [‘huhx‘, 342, ‘hubai‘]data2 = [‘linux‘, 56, ‘wuhan‘]data3 = [‘tomhu‘, 44, ‘china‘]csvFile = open(‘huhx.csv‘, ‘a‘)writer = csv.writer(csvFile)# writer.writerow(fileHeader)# writer.writerow(data1)# writer.writerow(data2)# writer.writerow(data3)writer.writerows([fileHeader, data1, data2, data3])csvFile.close()

友情链接

Python基础---->python的使用(二)