If you open a stock website through a browser during working hours, you may be afraid of being seen by others. It doesn't matter. Just try executing the code on the command line to see the data.
Enter sh to view the Shanghai Composite Index
Enter sz to view the Shenzhen Index
Enter cyb to view the GEM Index
Other stock codes can be customized and added to the dictionary
Python version 2.7 .3
#!/usr/bin/env python # -*- coding: utf-8 -*- import urllib2 import re import datetime def getStockInfo(url): """根据url获取信息""" stockList = [] request = urllib2.Request(url) response = urllib2.urlopen(request) stockStr = response.read() stockList = stockStr.split(',') return stockList def printStock(List): """打印相关信息""" print '***********price*****************' + List[1] print '***********float_price***********' + List[2] print '***********float_perct***********' + List[3] + '%' print '***********succ_unit*************' + List[4]+' shou' print '***********succ_price************' + List[5] def getUrlByCode(code): """根据代码获取详细的url""" url = '' stockCode = '' if code == 'sh': url = 'http://hq.sinajs.cn/list=s_sh000001' elif code == 'sz': url = 'http://hq.sinajs.cn/list=s_sz399001' elif code == 'cyb': url = 'http://hq.sinajs.cn/list=s_sz399006' else: pattern = re.compile(r'^60*') match = pattern.match(code) if match: stockCode = 'sh'+ code else: stockCode = 'sz' + code url = 'http://hq.sinajs.cn/list=s_'+stockCode return url #输入stock代码输出对应的价格信息 #code = raw_input('code: ') codeDict = { 'sh' : 'shang hai zq', 'sz' : 'shen zheng zq', 'cyb' : 'chang ye ban', '601788' : 'guang da zheng quan', '000651' : 'ge li dian qi', } #http://hq.sinajs.cn/list=s_sh000001 (上海大盘查询) #http://hq.sinajs.cn/list=s_sz399001 (深圳大盘查询) count = 0; while (count<=100):#循环100次后再退出 # 循环字典 for key in codeDict: print key + '--'+codeDict[key] code = raw_input('please select a code: ') now_time = datetime.datetime.now() #打印该code的信息 url = getUrlByCode(code) stockInfo = getStockInfo(url) #print stockInfo printStock(stockInfo) end_time = datetime.datetime.now() costTime = (end_time - now_time).seconds print '总共花费时间'+str(costTime)+'秒' count +=1

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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