为什么写这个程序,为什么不给这个程序配备gui?原因很简单,因为我是一个命令行控,Linux习惯了不习惯了鼠标,总觉得点着不如敲命令快,各位在看这篇文章就说明和本人有相同的爱好.这个用python写的翻译工具是通过google来实现的,由于google返回的数据不是很规范(或者说我没有找到规律),现在前三项能正常显示(源词,翻译结果,和汉语拼音).下面的词性和其他释义可能不同,见谅,望大神可以指点下小弟和帮小弟完善,这里赶紧不尽.
好了不费话了,下面放代码:
#!/usr/bin/env python # -*-coding:utf8 -*- ''' #============================================================================= # FileName: translate.py # Desc: To translate with zh to en or en2zh # Author: cold # Email: wh_linux@126.com # HomePage: http://www.linuxzen.com # Version: 0.0.1 # LastChange: 2012-04-23 23:04:08 # History: #============================================================================= ''' import urllib import urllib2 from sys import argv,exit import re # 显示帮助信息 def helpinfo(): print ''' Usage: pytran {zh2en|en2zh} content ''' # 格式化输出 def formatresult(result,srclang): resu = result.split('[[') if (srclang=='en2zh' or srclang == 'zh2en'): firstre = resu[1].replace('[','').replace(']','').split('"') print '源词:',firstre[3] print '结果:',firstre[1] if (srclang=='zh2en'): piny = firstre[7] else: piny = firstre[5] print '拼音:',piny if(srclang=='zh2en'): secresu=resu[2].replace('"','').split('[') else: secresu = resu[2].replace('"', '').split('[') print '词性:',secresu[0].replace(',','') print '其他释义:' for i in ''.join(secresu[1].split(']')).split(','): print i # 获取命令行参数 try: srclang = argv[1] except: helpinfo() exit(1) try: cont = argv[2] except: helpinfo() exit(2) # 判断翻译目标语言用来确定传送参数 if(srclang == 'zh2en'): data=urllib.urlencode({'client':'t', 'text':cont, 'hl':'zh-CN','tl':'en', 'multires':'1','prev':'btn', 'ssel':'0','sc':'1'}) elif(srclang == 'en2zh'): data=urllib.urlencode({'client':'t', 'text':cont, 'hl':'zh-CN', 'sl':'en','tl':'zh-CN', 'multires':'1', 'prev':'btn', 'ssel':'0','sc':'1'}) else: helpinfo() # 打开google翻译内容 url = 'http://translate.google.cn/translate_a/t' req =urllib2.Request(url,data) req.add_header("User-Agent", "Mozilla/5.0+(compatible;+Googlebot/2.1;++http://www.google.com/bot.html)") fd = urllib2.urlopen(req) result = fd.read() # 格式化输出 formatresult(result, srclang) fd.close()
为了更方便的使用我们把这个脚本命名位pytranslate,放到/usr/bin下,并赋予执行权限:
chmod +x /usr/bin/pytranslate
然后我们就可以使用它进行翻译了: 翻译英文到中文:
pytranslate en2zh extent 源词: extent 结果: 程度 拼音: Chéngdù 词性: 名词 其他释义: 程度 范围 幅度 规模 度 地步 广度 长度 面 长短 份儿 界 en 翻译中文到英文 pytranslate zh2en 中国 源词: 中国 结果: China 拼音: Zhōngguó 词性: 名词 其他释义: China zh-CN
好吧相信聪明的你肯定发现如何使用了这里就不罗嗦了.

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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