This article mainly introduces the news aggregation of the python basic tutorial project in detail. It has a certain reference value. Interested friends can refer to the
"Python Basic Tutorial" book. The fourth exercise is news aggregation. A type of application that is rare nowadays, at least I have never used it, is also called Usenet. The main function of this program is to collect information from specified sources (here, Usenet newsgroups), and then save this information to specified destination files (two forms are used here: plain text and html files). The use of this program is somewhat similar to the current blog subscription tool or RSS subscriber.
First introduce the code, and then analyze it one by one:
from nntplib import NNTP from time import strftime,time,localtime from email import message_from_string from urllib import urlopen import textwrap import re day = 24*60*60 def wrap(string,max=70): ''' ''' return '\n'.join(textwrap.wrap(string)) + '\n' class NewsAgent: ''' ''' def __init__(self): self.sources = [] self.destinations = [] def addSource(self,source): self.sources.append(source) def addDestination(self,dest): self.destinations.append(dest) def distribute(self): items = [] for source in self.sources: items.extend(source.getItems()) for dest in self.destinations: dest.receiveItems(items) class NewsItem: def __init__(self,title,body): self.title = title self.body = body class NNTPSource: def __init__(self,servername,group,window): self.servername = servername self.group = group self.window = window def getItems(self): start = localtime(time() - self.window*day) date = strftime('%y%m%d',start) hour = strftime('%H%M%S',start) server = NNTP(self.servername) ids = server.newnews(self.group,date,hour)[1] for id in ids: lines = server.article(id)[3] message = message_from_string('\n'.join(lines)) title = message['subject'] body = message.get_payload() if message.is_multipart(): body = body[0] yield NewsItem(title,body) server.quit() class SimpleWebSource: def __init__(self,url,titlePattern,bodyPattern): self.url = url self.titlePattern = re.compile(titlePattern) self.bodyPattern = re.compile(bodyPattern) def getItems(self): text = urlopen(self.url).read() titles = self.titlePattern.findall(text) bodies = self.bodyPattern.findall(text) for title.body in zip(titles,bodies): yield NewsItem(title,wrap(body)) class PlainDestination: def receiveItems(self,items): for item in items: print item.title print '-'*len(item.title) print item.body class HTMLDestination: def __init__(self,filename): self.filename = filename def receiveItems(self,items): out = open(self.filename,'w') print >> out,''' <html> <head> <title>Today's News</title> </head> <body> <h1>Today's News</hi> ''' print >> out, '<ul>' id = 0 for item in items: id += 1 print >> out, '<li><a href="#" rel="external nofollow" >%s</a></li>' % (id,item.title) print >> out, '</ul>' id = 0 for item in items: id += 1 print >> out, '<h2 id="a-nbsp-name-i-s-a"><a name="%i">%s</a></h2>' % (id,item.title) print >> out, '<pre class="brush:php;toolbar:false">%s' % item.body print >> out, '''
The above is the detailed content of python basic tutorial project four news aggregation. For more information, please follow other related articles on the PHP Chinese website!

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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.

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