使用map和有map_async什么区别?将项目从列表分发到4个进程后,它们是否没有运行相同的功能?
那么假设两者都在运行异步和并行是错误的吗?
def f(x):
return 2*x
p=Pool(4)
l=[1,2,3,4]
out1=p.map(f,l)
#vs
out2=p.map_async(f,l)
Run Code Online (Sandbox Code Playgroud) cython在ipython笔记本中使用时,我看到下面的错误.怎么了?
%load_ext cythonmagic
/usr/local/lib/python2.7/dist-packages/IPython/extensions/cythonmagic.py:21: UserWarning: The Cython magic has been moved to the Cython package
warnings.warn("""The Cython magic has been moved to the Cython package""")
%%cython
def fib(int n):
cdef int a,b,i
for i in range(n):
a,b=a+b,b
return a
ERROR: Cell magic `%%cython` not found.
Run Code Online (Sandbox Code Playgroud) 我正在尝试validate()调用覆盖函数serializers.is_valid(),但它没有被调用。
序列化程序.py
class LoginSerializer(serializers.Serializer):
email = serializers.EmailField(max_length=255,required=True)
password = serializers.CharField(max_length=128,required=True)
def validate(self,data):
'''
Check for invalid email.
& blank email and password.
'''
print 'hey i am in login'
if data['email'] is '':
raise serializers.ValidationError("Email cannot be empty.")
if data['password'] is '':
raise serializers.ValidationError("Password cannot be empty.")
try:
validate_email(data['email'])
except ValidationError:
raise serializers.ValidationError("The email is not a valid email address.")
return data
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视图.py
class LoginAPI(APIView):
permission_classes = (permissions.AllowAny,)
serializer = LoginSerializer
def post(self, request):
data = …Run Code Online (Sandbox Code Playgroud) python django django-forms django-views django-rest-framework
我使用 scrapy 和 selenium webdrivers 进行网络抓取。但我发现 selenium webdriver 非常慢,但我发现提取 webelement 的 CSS 属性更容易,例如。
webElement.value_of_css_property('font-size')
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如何仅使用 scrapy 而不使用 selenium webdriver 来实现这一点?
当我从nltk执行stanford解析器时,我得到以下结果.
(S (VP (VB get) (NP (PRP me)) (ADVP (RB now))))
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但我需要它的形式
S -> VP
VP -> VB NP ADVP
VB -> get
PRP -> me
RB -> now
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如何使用递归函数获得此结果.有内置功能吗?
当我在终端执行ipython时,我看到以下错误
aman@ebex-MacBookPro:~/ipython_work$ ipython
Traceback (most recent call last):
File "/usr/local/bin/ipython", line 5, in <module>
from pkg_resources import load_entry_point
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 3141, in <module>
@_call_aside
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 3127, in _call_aside
f(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 3154, in _initialize_master_working_set
working_set = WorkingSet._build_master()
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 640, in _build_master
ws.require(__requires__)
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 941, in require
needed = self.resolve(parse_requirements(requirements))
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 828, in resolve
raise DistributionNotFound(req, requirers)
pkg_resources.DistributionNotFound: The 'pathlib2' distribution was not found and is required by ipython
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就在我跟随之前 …
我想在使用scrapy和selenium进行刮擦时禁用JavaScript.这样做的动机是提高刮削速度.我发现了对Firefox驱动程序的偏好,但没有找到PhantomJS.
firefox_profile = webdriver.FirefoxProfile()
firefox_profile.set_preference("javascript.enabled", False)
driver = webdriver.Firefox(firefox_profile=firefox_profile)
driver.get('http://www.quora.com/')
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如何为PhantomJS webdriver做到这一点?
我是NLP概念的新手,我对词汇化解析器和依赖解析器的概念有点困惑.它们是相同的,还是不同的是它们的不同之处.请帮助理解.我正在使用斯坦福解析器java包.谢谢
我有输入:
callme
senditnow
runningcar
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我怎么能提取像叫我,现在发送,跑车这样的词.在python中有任何库使用一些字典来做那件事.
我无法从sklearn导入hmm模块。
from sklearn import hmm
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我收到错误消息:
ImportError: cannot import name hmm
Run Code Online (Sandbox Code Playgroud) 我想根据从斯坦福解析器检索的语法生成句子,但 NLTK 无法解释 PRP$。
from nltk.parse.stanford import StanfordParser
from nltk.grammar import CFG
from nltk.parse.generate import generate
sp=StanfordParser(model_path='/home/aman/stanford_resource/stanford-parser-full-2014-06-16/stanford-parser-3.4-models/edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz',path_to_jar='/home/aman/stanford_resource/stanford-parser-full-2014-06-16/stanford-parser.jar',path_to_models_jar='/home/aman/stanford_resource/stanford-postagger-full-2014-08-27/stanford-postagger-3.4.1.jar')
sent1='He killed the tiger in his pants'
parse_result=sp.raw_parse(sent1)
grammar_list=[]
for p in parse_result:
l=p.productions()
grammar_string='\n'.join(map(str,l))
grammar=CFG.fromstring(grammar_string)
#grammar_list.append(grammar)
#for s in generate(grammar,n=3):
# print s
ValueError: Unable to parse line 11: NP -> PRP$ NNS
Expected a nonterminal, found: $ NNS
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它怎么能工作。我是否应该专门针对这些语法类别指导 nltk。
python ×5
nltk ×3
python-2.7 ×3
stanford-nlp ×3
ipython ×2
algorithm ×1
css ×1
cython ×1
django ×1
django-forms ×1
django-views ×1
javascript ×1
nlp ×1
phantomjs ×1
recursion ×1
scikit-learn ×1
scrapy ×1
selenium ×1
text-mining ×1
web-scraping ×1