梁剑的Blog » Python

监控iPhone 4S发布的Python脚本

梁剑 — Thu, 03 Nov 2011 15:56:36 +0000

但愿不用等太晚：）

#!/usr/bin/python
 
import urllib2
import sys
import time
 
def alarm():
	while True:
		sys.stdout.write('\a')
		sys.stdout.flush()
 
def poll():
	count=0;
	while True:
		count = count + 1
		now = time.localtime( time.time() )
		print '%02d:%02d:%02d %d' % (now.tm_hour, now.tm_min, now.tm_sec, count)
		try:
			urllib2.urlopen('http://store.apple.com/hk-zh/browse/home/shop_iphone/family/iphone/iphone4s')
			alarm()
		except urllib2.HTTPError as error:
			pass
			#print error
 
		try:
			iphone4 = urllib2.urlopen( 'http://store.apple.com/hk-zh/browse/home/shop_iphone/family/iphone/iphone4' )
			html = ''.join( iphone4.readlines() )
			if html.find( 'iPhone 4S' ) != -1 :
				alarm()
		except:
			pass
 
		#time.sleep(1)
 
if __name__ == '__main__':
	poll()

The Zen of Python

梁剑 — Sun, 13 Feb 2011 05:45:50 +0000

by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren’t special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one– and preferably only one –obvious way to do it.
Although that way may not be obvious at first unless you’re Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it’s a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea — let’s do more of those!

just “import this”:)

初学Python

梁剑 — Fri, 23 Jan 2009 18:22:57 +0000

这两天时间比较充裕，可以有比较长的连续时间集中精神，我用来学Python了。
有C++、Perl、Bash和PHP的基础，要入门其实并不太难。
没有关注太多的细节，套用很远古一句话，语言是用来写程序的，不是用来理解的。（粗体部分请用适当的词替换）
的确很方便，而且比Perl要容易，很多。
不过似乎Python不支持++运算符，无语。
另外，Python3和Python2不完全兼容，但对我是没有丝毫影响的：）

我主要的学习资料是网上的两个教程：

都写得很好，如果是有其他语言的基础，看过应该就可以了解Python的基本用法了。

至于进一步的参考，找到了《Dive Into Python》的中文版，已经下载，作为工具书翻阅：）

趁着还记得一点，把前两天那个进化论中的概率论用Python重写了一次。
当然，结果一样，因为这个问题的数学期望是有理论保证的。

#!/usr/bin/python
 
import os
import random
 
RandomCount=0;
GenerateCount=0;
Target = list("tobeornottobe");
 
def getRandomChar():
	global RandomCount;
	RandomCount = RandomCount+1;
	return random.choice("abcdefghijklmnopqrstuvwxyz");
 
def compareList(list1, list2):
	if( len(list1) != len(list2) ):
		raise Exception;
	DifferentCount = 0;
	for i in range(len(list2)):
		if( list1[i] == list2[i] ):
			continue;
		else:
			DifferentCount = DifferentCount+1;
	return DifferentCount;
 
def generateRandomList(now, target):
	global GenerateCount;
	GenerateCount = GenerateCount + 1;
	result = [];
	for i in range(len(target)):
		if( now[i] != target[i] ):
			result.append( getRandomChar() );
			if( result[i] == target[i] ):
				now[i] = target[i];
		else:
			result.append( ' ' );
	return result;
#	print result;
 
 
Now = list(" " * len(Target));
while compareList(Now, Target) != 0:
	Result = generateRandomList(Now, Target);
	print "%6d" % GenerateCount, "|", "".join(Now), "|", "".join(Result);
print "RandomCount: ", RandomCount;

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