使用re, urllib, threading 多线程抓取天涯帖子内容,设置url为需抓取的天涯帖子的第一页,设置file_name为下载后的文件名
代码如下:
#coding:utf-8
import urllib
import re
import threading
import os, time
class Down_Tianya(threading.Thread):
"""多线程下载"""
def __init__(self, url, num, dt):
threading.Thread.__init__(self)
self.url = url
self.num = num
self.txt_dict = dt
def run(self):
print 'downling from %s' % self.url
self.down_text()
def down_text(self):
"""根据传入的url抓出各页内容,按页数做键存入字典"""
html_content =urllib.urlopen(self.url).read()
text_pattern = re.compile('时间:(.*?).*?.*?
page_pattern = re.compile(r'(\d*)\s*下页')
page_result = page_pattern.search(html_page)
if page_result:
page_num = int(page_result.group(1))
return page_num
def write_text(dict, fn):
"""把字典内容按键(页数)写入文本,每个键值为每页内容的list列表"""
tx_file = open(fn, 'w+')
pn = len(dict)
for i in range(1, pn+1):
tx_list = dict[i]
for tx in tx_list:
tx = tx.replace('
', '\r\n').replace('
', '\r\n').replace(' ', '')
tx_file.write(tx.strip()+'\r\n'*4)
tx_file.close()
def main():
url = 'http://bbs.tianya.cn/post-16-996521-1.shtml'
file_name ='abc.txt'
my_page = page(url)
my_dict = {}
print 'page num is : %s' % my_page
threads = []
"""根据页数构造urls进行多线程下载"""
for num in range(1, my_page+1):
myurl = '%s%s.shtml' % (url[:-7], num)
downlist = Down_Tianya(myurl, num, my_dict)
downlist.start()
threads.append(downlist)
"""检查下载完成后再进行写入"""
for t in threads:
t.join()
write_text(my_dict, file_name)
print 'All download finished. Save file at directory: %s' % os.getcwd()
if __name__ == '__main__':
main()
down_tianya.py
代码如下:
#coding:utf-8
import urllib
import re
import threading
import os
class Down_Tianya(threading.Thread):
"""多线程下载"""
def __init__(self, url, num, dt):
threading.Thread.__init__(self)
self.url = url
self.num = num
self.txt_dict = dt
def run(self):
print 'downling from %s' % self.url
self.down_text()
def down_text(self):
"""根据传入的url抓出各页内容,按页数做键存入字典"""
html_content =urllib.urlopen(self.url).read()
text_pattern = re.compile('
page_pattern = re.compile(r'(\d*)\s*下页')
page_result = page_pattern.search(html_page)
if page_result:
page_num = int(page_result.group(1))
return page_num
def write_text(dict, fn):
"""把字典内容按键(页数)写入文本,每个键值为每页内容的list列表"""
tx_file = open(fn, 'w+')
pn = len(dict)
for i in range(1, pn+1):
tx_list = dict[i]
for tx in tx_list:
tx = tx.replace('
', '\r\n').replace('
', '\r\n').replace(' ', '')
tx_file.write(tx.strip()+'\r\n'*4)
tx_file.close()
def main():
url = 'http://bbs.tianya.cn/post-16-996521-1.shtml'
file_name ='abc.txt'
my_page = page(url)
my_dict = {}
print 'page num is : %s' % my_page
threads = []
"""根据页数构造urls进行多线程下载"""
for num in range(1, my_page+1):
myurl = '%s%s.shtml' % (url[:-7], num)
downlist = Down_Tianya(myurl, num, my_dict)
downlist.start()
threads.append(downlist)
"""检查下载完成后再进行写入"""
for t in threads:
t.join()
write_text(my_dict, file_name)
print 'All download finished. Save file at directory: %s' % os.getcwd()
if __name__ == '__main__':
main()

Arraysinpython,尤其是Vianumpy,ArecrucialInsCientificComputingfortheireftheireffertheireffertheirefferthe.1)Heasuedfornumerericalicerationalation,dataAnalysis和Machinelearning.2)Numpy'Simpy'Simpy'simplementIncressionSressirestrionsfasteroperoperoperationspasterationspasterationspasterationspasterationspasterationsthanpythonlists.3)inthanypythonlists.3)andAreseNableAblequick

你可以通过使用pyenv、venv和Anaconda来管理不同的Python版本。1)使用pyenv管理多个Python版本:安装pyenv,设置全局和本地版本。2)使用venv创建虚拟环境以隔离项目依赖。3)使用Anaconda管理数据科学项目中的Python版本。4)保留系统Python用于系统级任务。通过这些工具和策略,你可以有效地管理不同版本的Python,确保项目顺利运行。

numpyarrayshaveseveraladagesoverandastardandpythonarrays:1)基于基于duetoc的iMplation,2)2)他们的aremoremoremorymorymoremorymoremorymoremorymoremoremory,尤其是WithlargedAtasets和3)效率化,效率化,矢量化函数函数函数函数构成和稳定性构成和稳定性的操作,制造

数组的同质性对性能的影响是双重的:1)同质性允许编译器优化内存访问,提高性能;2)但限制了类型多样性,可能导致效率低下。总之,选择合适的数据结构至关重要。

到CraftCraftExecutablePythcripts,lollow TheSebestPractices:1)Addashebangline(#!/usr/usr/bin/envpython3)tomakethescriptexecutable.2)setpermissionswithchmodwithchmod xyour_script.3)

numpyArraysareAreBetterFornumericalialoperations andmulti-demensionaldata,而learthearrayModuleSutableforbasic,内存效率段

numpyArraySareAreBetterForHeAvyNumericalComputing,而lelethearRayModulesiutable-usemoblemory-connerage-inderabledsswithSimpleDatateTypes.1)NumpyArsofferVerverVerverVerverVersAtility andPerformanceForlargedForlargedAtatasetSetsAtsAndAtasEndCompleXoper.2)

ctypesallowscreatingingangandmanipulatingc-stylarraysinpython.1)usectypestoInterfacewithClibrariesForperfermance.2)createc-stylec-stylec-stylarraysfornumericalcomputations.3)passarraystocfunctions foreforfunctionsforeffortions.however.however,However,HoweverofiousofmemoryManageManiverage,Pressiveo,Pressivero


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